query stringclasses 30
values | image imagewidth (px) 64 64 | annot stringclasses 5
values | reasoning null | cate stringclasses 1
value | task stringclasses 1
value | metadata stringlengths 627 643 |
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The image folds the raw vibration samples of a gearbox signal into a 2-D grayscale square (signal-to-image encoding). Determine the gearbox's health state. Answer with exactly one of: health, chipped, miss, root, surface. | root | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 12.33, "computed_verdict": "fault_evident", "condition": "20_0", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 2.5, "0.25x": 7.45, "0.8333x": 4.88, "1x": 7.0, "2x": 1.65, "3x": 1.2}, "file": "Root_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": 19.99... | |
A gearbox vibration time series has been folded into this square grayscale image, one row per segment of consecutive samples. Classify the gear condition as one of: health, chipped, miss, root, surface. | root | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 12.79, "computed_verdict": "fault_evident", "condition": "20_0", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 2.64, "0.25x": 6.99, "0.8333x": 5.79, "1x": 5.74, "2x": 1.52, "3x": 1.12}, "file": "Root_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": 19... | |
A gearbox vibration time series has been folded into this square grayscale image, one row per segment of consecutive samples. Based on the visible evidence, which gear condition applies: health, chipped, miss, root, surface? | root | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 12.34, "computed_verdict": "fault_evident", "condition": "20_0", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 2.52, "0.25x": 6.91, "0.8333x": 5.43, "1x": 6.61, "2x": 2.84, "3x": 2.24}, "file": "Root_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": 19... | |
The image folds the raw vibration samples of a gearbox signal into a 2-D grayscale square (signal-to-image encoding). Determine the gearbox's health state. Answer with exactly one of: health, chipped, miss, root, surface. | root | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 11.21, "computed_verdict": "fault_evident", "condition": "20_0", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 3.16, "0.25x": 6.05, "0.8333x": 5.16, "1x": 6.24, "2x": 1.06, "3x": 1.46}, "file": "Root_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": 19... | |
You are looking at a signal-to-image encoding: consecutive gearbox vibration samples arranged as the rows of a grayscale square. Based on the visible evidence, which gear condition applies: health, chipped, miss, root, surface? | root | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 4.89, "computed_verdict": "healthy", "condition": "20_0", "evidence_tier": "weak", "family_obs": {"0.1667x": 2.1, "0.25x": 4.89, "0.8333x": 3.86, "1x": 4.83, "2x": 2.42, "3x": 1.34}, "file": "Root_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": 19.995, "fs": 5... | |
A gearbox vibration time series has been folded into this square grayscale image, one row per segment of consecutive samples. Determine the gearbox's health state. Answer with exactly one of: health, chipped, miss, root, surface. | root | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 11.82, "computed_verdict": "fault_evident", "condition": "20_0", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 3.95, "0.25x": 6.37, "0.8333x": 5.45, "1x": 5.09, "2x": 1.26, "3x": 1.35}, "file": "Root_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": 19... | |
This grayscale texture is a gearbox vibration snapshot reshaped row-by-row into a square image. What is the most likely gear condition (health, chipped, miss, root, surface)? | root | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 16.12, "computed_verdict": "fault_evident", "condition": "20_0", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 4.58, "0.25x": 4.8, "0.8333x": 6.73, "1x": 7.08, "2x": 1.61, "3x": 1.43}, "file": "Root_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": 19.... | |
The image folds the raw vibration samples of a gearbox signal into a 2-D grayscale square (signal-to-image encoding). Based on the visible evidence, which gear condition applies: health, chipped, miss, root, surface? | root | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 17.53, "computed_verdict": "fault_evident", "condition": "20_0", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 4.66, "0.25x": 6.44, "0.8333x": 6.42, "1x": 6.53, "2x": 1.43, "3x": 2.53}, "file": "Root_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": 19... | |
This grayscale texture is a gearbox vibration snapshot reshaped row-by-row into a square image. Diagnose the gearbox from this image, choosing from: health, chipped, miss, root, surface. | root | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 10.74, "computed_verdict": "fault_evident", "condition": "20_0", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 3.47, "0.25x": 5.6, "0.8333x": 5.14, "1x": 6.12, "2x": 1.14, "3x": 1.72}, "file": "Root_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": 19.... | |
A gearbox vibration time series has been folded into this square grayscale image, one row per segment of consecutive samples. What is the most likely gear condition (health, chipped, miss, root, surface)? | root | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 16.41, "computed_verdict": "fault_evident", "condition": "20_0", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 4.57, "0.25x": 6.31, "0.8333x": 5.53, "1x": 5.29, "2x": 1.71, "3x": 2.76}, "file": "Root_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": 19... | |
Here is a 2-D grayscale rendering of raw gearbox vibration samples (signal-to-image). Determine the gearbox's health state. Answer with exactly one of: health, chipped, miss, root, surface. | root | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 21.32, "computed_verdict": "fault_evident", "condition": "20_0", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 5.92, "0.25x": 8.62, "0.8333x": 6.79, "1x": 7.79, "2x": 1.77, "3x": 1.99}, "file": "Root_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": 19... | |
The image folds the raw vibration samples of a gearbox signal into a 2-D grayscale square (signal-to-image encoding). What is the most likely gear condition (health, chipped, miss, root, surface)? | root | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 19.4, "computed_verdict": "fault_evident", "condition": "20_0", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 5.67, "0.25x": 8.05, "0.8333x": 5.68, "1x": 5.57, "2x": 2.71, "3x": 0.87}, "file": "Root_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": 19.... | |
The image folds the raw vibration samples of a gearbox signal into a 2-D grayscale square (signal-to-image encoding). Based on the visible evidence, which gear condition applies: health, chipped, miss, root, surface? | root | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 11.2, "computed_verdict": "fault_evident", "condition": "20_0", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 2.73, "0.25x": 4.37, "0.8333x": 6.82, "1x": 5.9, "2x": 0.54, "3x": 1.22}, "file": "Root_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": 19.9... | |
A gearbox vibration time series has been folded into this square grayscale image, one row per segment of consecutive samples. Determine the gearbox's health state. Answer with exactly one of: health, chipped, miss, root, surface. | root | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 12.72, "computed_verdict": "fault_evident", "condition": "20_0", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 2.84, "0.25x": 8.0, "0.8333x": 4.72, "1x": 4.53, "2x": 1.27, "3x": 2.4}, "file": "Root_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": 19.9... | |
The picture encodes a gearbox drivetrain's raw vibration samples as pixel intensities in a 2-D grid. Diagnose the gearbox from this image, choosing from: health, chipped, miss, root, surface. | root | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 11.53, "computed_verdict": "fault_evident", "condition": "20_0", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 1.83, "0.25x": 6.11, "0.8333x": 5.43, "1x": 7.51, "2x": 1.75, "3x": 0.76}, "file": "Root_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": 19... | |
This grayscale texture is a gearbox vibration snapshot reshaped row-by-row into a square image. Classify the gear condition as one of: health, chipped, miss, root, surface. | root | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 18.41, "computed_verdict": "fault_evident", "condition": "30_2", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 2.1, "0.25x": 8.46, "0.8333x": 9.95, "1x": 4.55, "2x": 3.33, "3x": 2.93}, "file": "Root_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used": 29.... | |
A gearbox vibration time series has been folded into this square grayscale image, one row per segment of consecutive samples. Based on the visible evidence, which gear condition applies: health, chipped, miss, root, surface? | root | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 13.52, "computed_verdict": "fault_evident", "condition": "30_2", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 3.42, "0.25x": 7.77, "0.8333x": 5.75, "1x": 2.74, "2x": 2.93, "3x": 3.41}, "file": "Root_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used": 29... | |
The image folds the raw vibration samples of a gearbox signal into a 2-D grayscale square (signal-to-image encoding). Classify the gear condition as one of: health, chipped, miss, root, surface. | root | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 11.76, "computed_verdict": "fault_evident", "condition": "30_2", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 2.8, "0.25x": 6.32, "0.8333x": 5.44, "1x": 5.15, "2x": 1.16, "3x": 1.91}, "file": "Root_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used": 29.... | |
You are looking at a signal-to-image encoding: consecutive gearbox vibration samples arranged as the rows of a grayscale square. Classify the gear condition as one of: health, chipped, miss, root, surface. | root | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 13.06, "computed_verdict": "fault_evident", "condition": "30_2", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 2.63, "0.25x": 5.61, "0.8333x": 7.45, "1x": 3.22, "2x": 1.8, "3x": 2.48}, "file": "Root_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used": 29.... | |
A gearbox vibration time series has been folded into this square grayscale image, one row per segment of consecutive samples. Diagnose the gearbox from this image, choosing from: health, chipped, miss, root, surface. | root | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 18.13, "computed_verdict": "fault_evident", "condition": "30_2", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 4.52, "0.25x": 7.09, "0.8333x": 6.51, "1x": 5.38, "2x": 2.56, "3x": 2.28}, "file": "Root_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used": 29... | |
The image folds the raw vibration samples of a gearbox signal into a 2-D grayscale square (signal-to-image encoding). Diagnose the gearbox from this image, choosing from: health, chipped, miss, root, surface. | root | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 19.32, "computed_verdict": "fault_evident", "condition": "30_2", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 5.04, "0.25x": 6.39, "0.8333x": 7.89, "1x": 3.48, "2x": 0.95, "3x": 3.08}, "file": "Root_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used": 29... | |
The picture encodes a gearbox drivetrain's raw vibration samples as pixel intensities in a 2-D grid. Diagnose the gearbox from this image, choosing from: health, chipped, miss, root, surface. | root | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 14.45, "computed_verdict": "fault_evident", "condition": "30_2", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 3.77, "0.25x": 6.53, "0.8333x": 7.92, "1x": 3.14, "2x": 1.35, "3x": 2.82}, "file": "Root_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used": 29... | |
The image folds the raw vibration samples of a gearbox signal into a 2-D grayscale square (signal-to-image encoding). Based on the visible evidence, which gear condition applies: health, chipped, miss, root, surface? | root | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 13.39, "computed_verdict": "fault_evident", "condition": "30_2", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 3.74, "0.25x": 6.74, "0.8333x": 6.65, "1x": 3.02, "2x": 1.77, "3x": 2.2}, "file": "Root_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used": 29.... | |
You are looking at a signal-to-image encoding: consecutive gearbox vibration samples arranged as the rows of a grayscale square. What is the most likely gear condition (health, chipped, miss, root, surface)? | root | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 14.73, "computed_verdict": "fault_evident", "condition": "30_2", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 1.34, "0.25x": 7.86, "0.8333x": 6.87, "1x": 3.78, "2x": 1.61, "3x": 1.4}, "file": "Root_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used": 29.... | |
Here is a 2-D grayscale rendering of raw gearbox vibration samples (signal-to-image). Based on the visible evidence, which gear condition applies: health, chipped, miss, root, surface? | root | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 13.6, "computed_verdict": "fault_evident", "condition": "30_2", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 2.67, "0.25x": 7.15, "0.8333x": 6.45, "1x": 1.97, "2x": 2.49, "3x": 3.75}, "file": "Root_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used": 29.... | |
The image folds the raw vibration samples of a gearbox signal into a 2-D grayscale square (signal-to-image encoding). What is the most likely gear condition (health, chipped, miss, root, surface)? | root | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 15.73, "computed_verdict": "fault_evident", "condition": "30_2", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 3.44, "0.25x": 7.01, "0.8333x": 8.72, "1x": 3.85, "2x": 2.29, "3x": 1.98}, "file": "Root_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used": 29... | |
Here is a 2-D grayscale rendering of raw gearbox vibration samples (signal-to-image). Classify the gear condition as one of: health, chipped, miss, root, surface. | root | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 14.12, "computed_verdict": "fault_evident", "condition": "30_2", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 1.14, "0.25x": 8.09, "0.8333x": 6.03, "1x": 3.52, "2x": 2.16, "3x": 2.98}, "file": "Root_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used": 29... | |
A gearbox vibration time series has been folded into this square grayscale image, one row per segment of consecutive samples. What is the most likely gear condition (health, chipped, miss, root, surface)? | root | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 12.99, "computed_verdict": "fault_evident", "condition": "30_2", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 3.53, "0.25x": 6.53, "0.8333x": 6.47, "1x": 4.44, "2x": 2.42, "3x": 2.96}, "file": "Root_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used": 29... | |
The picture encodes a gearbox drivetrain's raw vibration samples as pixel intensities in a 2-D grid. Based on the visible evidence, which gear condition applies: health, chipped, miss, root, surface? | root | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 12.29, "computed_verdict": "fault_evident", "condition": "30_2", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 1.65, "0.25x": 6.42, "0.8333x": 5.87, "1x": 3.47, "2x": 1.46, "3x": 3.74}, "file": "Root_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used": 29... | |
You are looking at a signal-to-image encoding: consecutive gearbox vibration samples arranged as the rows of a grayscale square. Based on the visible evidence, which gear condition applies: health, chipped, miss, root, surface? | root | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 13.09, "computed_verdict": "fault_evident", "condition": "30_2", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 3.13, "0.25x": 6.2, "0.8333x": 6.89, "1x": 5.1, "2x": 3.13, "3x": 2.74}, "file": "Root_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used": 29.9... | |
This grayscale texture is a gearbox vibration snapshot reshaped row-by-row into a square image. Diagnose the gearbox from this image, choosing from: health, chipped, miss, root, surface. | root | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 12.73, "computed_verdict": "fault_evident", "condition": "30_2", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 1.72, "0.25x": 7.48, "0.8333x": 5.25, "1x": 3.71, "2x": 2.82, "3x": 2.65}, "file": "Root_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used": 29... | |
The picture encodes a gearbox drivetrain's raw vibration samples as pixel intensities in a 2-D grid. Classify the gear condition as one of: health, chipped, miss, root, surface. | root | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 13.79, "computed_verdict": "fault_evident", "condition": "30_2", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 3.52, "0.25x": 6.26, "0.8333x": 7.53, "1x": 3.19, "2x": 1.83, "3x": 2.06}, "file": "Root_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used": 29... | |
Here is a 2-D grayscale rendering of raw gearbox vibration samples (signal-to-image). Determine the gearbox's health state. Answer with exactly one of: health, chipped, miss, root, surface. | root | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 16.79, "computed_verdict": "fault_evident", "condition": "30_2", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 4.02, "0.25x": 6.01, "0.8333x": 6.76, "1x": 3.77, "2x": 2.87, "3x": 1.59}, "file": "Root_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used": 29... | |
The image folds the raw vibration samples of a gearbox signal into a 2-D grayscale square (signal-to-image encoding). Based on the visible evidence, which gear condition applies: health, chipped, miss, root, surface? | root | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 23.08, "computed_verdict": "fault_evident", "condition": "30_2", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 6.05, "0.25x": 8.78, "0.8333x": 8.25, "1x": 4.72, "2x": 2.05, "3x": 3.7}, "file": "Root_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used": 29.... | |
The image folds the raw vibration samples of a gearbox signal into a 2-D grayscale square (signal-to-image encoding). What is the most likely gear condition (health, chipped, miss, root, surface)? | root | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 17.12, "computed_verdict": "fault_evident", "condition": "30_2", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 4.15, "0.25x": 6.8, "0.8333x": 6.17, "1x": 3.37, "2x": 1.9, "3x": 3.22}, "file": "Root_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used": 29.9... | |
The picture encodes a gearbox drivetrain's raw vibration samples as pixel intensities in a 2-D grid. Classify the gear condition as one of: health, chipped, miss, root, surface. | root | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 12.75, "computed_verdict": "fault_evident", "condition": "30_2", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 2.41, "0.25x": 6.89, "0.8333x": 5.86, "1x": 3.51, "2x": 1.85, "3x": 1.15}, "file": "Root_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used": 29... | |
A gearbox vibration time series has been folded into this square grayscale image, one row per segment of consecutive samples. Classify the gear condition as one of: health, chipped, miss, root, surface. | root | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 15.66, "computed_verdict": "fault_evident", "condition": "30_2", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 1.52, "0.25x": 7.0, "0.8333x": 8.66, "1x": 2.59, "2x": 1.38, "3x": 2.26}, "file": "Root_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used": 29.... | |
The image folds the raw vibration samples of a gearbox signal into a 2-D grayscale square (signal-to-image encoding). Diagnose the gearbox from this image, choosing from: health, chipped, miss, root, surface. | root | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 13.53, "computed_verdict": "fault_evident", "condition": "30_2", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 1.14, "0.25x": 9.22, "0.8333x": 4.31, "1x": 3.12, "2x": 1.52, "3x": 2.44}, "file": "Root_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used": 29... | |
Here is a 2-D grayscale rendering of raw gearbox vibration samples (signal-to-image). What is the most likely gear condition (health, chipped, miss, root, surface)? | root | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 14.21, "computed_verdict": "fault_evident", "condition": "30_2", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 1.36, "0.25x": 5.37, "0.8333x": 8.84, "1x": 3.32, "2x": 0.69, "3x": 2.03}, "file": "Root_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used": 29... | |
You are looking at a signal-to-image encoding: consecutive gearbox vibration samples arranged as the rows of a grayscale square. Diagnose the gearbox from this image, choosing from: health, chipped, miss, root, surface. | root | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 15.06, "computed_verdict": "fault_evident", "condition": "30_2", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 2.95, "0.25x": 7.48, "0.8333x": 7.58, "1x": 3.64, "2x": 2.09, "3x": 2.56}, "file": "Root_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used": 29... | |
The image folds the raw vibration samples of a gearbox signal into a 2-D grayscale square (signal-to-image encoding). What is the most likely gear condition (health, chipped, miss, root, surface)? | root | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 10.51, "computed_verdict": "fault_evident", "condition": "30_2", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 3.64, "0.25x": 5.25, "0.8333x": 5.25, "1x": 3.9, "2x": 1.39, "3x": 2.89}, "file": "Root_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used": 29.... | |
You are looking at a signal-to-image encoding: consecutive gearbox vibration samples arranged as the rows of a grayscale square. Classify the gear condition as one of: health, chipped, miss, root, surface. | root | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 10.58, "computed_verdict": "fault_evident", "condition": "30_2", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 1.56, "0.25x": 5.71, "0.8333x": 4.87, "1x": 2.95, "2x": 2.31, "3x": 3.24}, "file": "Root_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used": 29... | |
You are looking at a signal-to-image encoding: consecutive gearbox vibration samples arranged as the rows of a grayscale square. Based on the visible evidence, which gear condition applies: health, chipped, miss, root, surface? | root | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 16.76, "computed_verdict": "fault_evident", "condition": "30_2", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 4.01, "0.25x": 7.12, "0.8333x": 5.63, "1x": 3.65, "2x": 3.1, "3x": 2.69}, "file": "Root_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used": 29.... | |
This grayscale texture is a gearbox vibration snapshot reshaped row-by-row into a square image. Classify the gear condition as one of: health, chipped, miss, root, surface. | root | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 15.58, "computed_verdict": "fault_evident", "condition": "30_2", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 3.24, "0.25x": 7.04, "0.8333x": 8.54, "1x": 3.17, "2x": 2.33, "3x": 1.87}, "file": "Root_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used": 29... | |
Here is a 2-D grayscale rendering of raw gearbox vibration samples (signal-to-image). Determine the gearbox's health state. Answer with exactly one of: health, chipped, miss, root, surface. | root | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 13.42, "computed_verdict": "fault_evident", "condition": "30_2", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 3.03, "0.25x": 6.46, "0.8333x": 6.95, "1x": 2.77, "2x": 1.67, "3x": 1.87}, "file": "Root_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used": 29... | |
A gearbox vibration time series has been folded into this square grayscale image, one row per segment of consecutive samples. What is the most likely gear condition (health, chipped, miss, root, surface)? | root | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 17.71, "computed_verdict": "fault_evident", "condition": "30_2", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 6.16, "0.25x": 4.44, "0.8333x": 7.12, "1x": 6.08, "2x": 1.56, "3x": 1.84}, "file": "Root_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used": 29... | |
This grayscale texture is a gearbox vibration snapshot reshaped row-by-row into a square image. Diagnose the gearbox from this image, choosing from: health, chipped, miss, root, surface. | root | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 13.93, "computed_verdict": "fault_evident", "condition": "30_2", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 2.06, "0.25x": 7.88, "0.8333x": 6.05, "1x": 3.85, "2x": 2.12, "3x": 1.76}, "file": "Root_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used": 29... | |
Here is a 2-D grayscale rendering of raw gearbox vibration samples (signal-to-image). Classify the gear condition as one of: health, chipped, miss, root, surface. | surface | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 15.24, "computed_verdict": "fault_evident", "condition": "20_0", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 7.39, "0.25x": 2.97, "0.8333x": 7.84, "1x": 4.29, "2x": 5.25, "3x": 1.26}, "file": "Surface_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used":... | |
The picture encodes a gearbox drivetrain's raw vibration samples as pixel intensities in a 2-D grid. Classify the gear condition as one of: health, chipped, miss, root, surface. | surface | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 14.45, "computed_verdict": "fault_evident", "condition": "20_0", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 8.13, "0.25x": 2.71, "0.8333x": 6.33, "1x": 4.42, "2x": 3.14, "3x": 1.29}, "file": "Surface_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used":... | |
A gearbox vibration time series has been folded into this square grayscale image, one row per segment of consecutive samples. What is the most likely gear condition (health, chipped, miss, root, surface)? | surface | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 12.46, "computed_verdict": "fault_evident", "condition": "20_0", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 5.2, "0.25x": 1.71, "0.8333x": 7.26, "1x": 5.05, "2x": 2.73, "3x": 2.09}, "file": "Surface_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": ... | |
Here is a 2-D grayscale rendering of raw gearbox vibration samples (signal-to-image). Diagnose the gearbox from this image, choosing from: health, chipped, miss, root, surface. | surface | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 13.25, "computed_verdict": "fault_evident", "condition": "20_0", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 6.55, "0.25x": 3.23, "0.8333x": 6.7, "1x": 3.37, "2x": 3.41, "3x": 1.88}, "file": "Surface_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": ... | |
The picture encodes a gearbox drivetrain's raw vibration samples as pixel intensities in a 2-D grid. Classify the gear condition as one of: health, chipped, miss, root, surface. | surface | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 11.89, "computed_verdict": "fault_evident", "condition": "20_0", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 5.3, "0.25x": 3.36, "0.8333x": 6.59, "1x": 4.68, "2x": 2.58, "3x": 1.44}, "file": "Surface_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": ... | |
Here is a 2-D grayscale rendering of raw gearbox vibration samples (signal-to-image). What is the most likely gear condition (health, chipped, miss, root, surface)? | surface | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 12.51, "computed_verdict": "fault_evident", "condition": "20_0", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 6.27, "0.25x": 2.68, "0.8333x": 6.23, "1x": 2.36, "2x": 2.48, "3x": 1.26}, "file": "Surface_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used":... | |
Here is a 2-D grayscale rendering of raw gearbox vibration samples (signal-to-image). Diagnose the gearbox from this image, choosing from: health, chipped, miss, root, surface. | surface | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 11.91, "computed_verdict": "fault_evident", "condition": "20_0", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 5.41, "0.25x": 1.68, "0.8333x": 6.5, "1x": 4.12, "2x": 2.6, "3x": 1.05}, "file": "Surface_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": 1... | |
Here is a 2-D grayscale rendering of raw gearbox vibration samples (signal-to-image). Classify the gear condition as one of: health, chipped, miss, root, surface. | surface | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 11.51, "computed_verdict": "fault_evident", "condition": "20_0", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 4.94, "0.25x": 2.68, "0.8333x": 6.57, "1x": 3.01, "2x": 4.11, "3x": 2.13}, "file": "Surface_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used":... | |
You are looking at a signal-to-image encoding: consecutive gearbox vibration samples arranged as the rows of a grayscale square. Diagnose the gearbox from this image, choosing from: health, chipped, miss, root, surface. | surface | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 7.63, "computed_verdict": "healthy", "condition": "20_0", "evidence_tier": "weak", "family_obs": {"0.1667x": 3.81, "0.25x": 1.14, "0.8333x": 7.63, "1x": 4.27, "2x": 2.78, "3x": 1.3}, "file": "Surface_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": 19.995, "fs"... | |
The picture encodes a gearbox drivetrain's raw vibration samples as pixel intensities in a 2-D grid. Determine the gearbox's health state. Answer with exactly one of: health, chipped, miss, root, surface. | surface | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 18.23, "computed_verdict": "fault_evident", "condition": "20_0", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 7.55, "0.25x": 4.94, "0.8333x": 5.75, "1x": 1.89, "2x": 4.29, "3x": 1.58}, "file": "Surface_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used":... | |
The image folds the raw vibration samples of a gearbox signal into a 2-D grayscale square (signal-to-image encoding). Classify the gear condition as one of: health, chipped, miss, root, surface. | surface | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 14.32, "computed_verdict": "fault_evident", "condition": "20_0", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 7.09, "0.25x": 3.91, "0.8333x": 7.23, "1x": 4.18, "2x": 3.47, "3x": 1.34}, "file": "Surface_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used":... | |
You are looking at a signal-to-image encoding: consecutive gearbox vibration samples arranged as the rows of a grayscale square. What is the most likely gear condition (health, chipped, miss, root, surface)? | surface | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 13.71, "computed_verdict": "fault_evident", "condition": "20_0", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 6.13, "0.25x": 3.19, "0.8333x": 7.58, "1x": 3.51, "2x": 4.85, "3x": 1.79}, "file": "Surface_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used":... | |
The picture encodes a gearbox drivetrain's raw vibration samples as pixel intensities in a 2-D grid. Based on the visible evidence, which gear condition applies: health, chipped, miss, root, surface? | surface | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 10.11, "computed_verdict": "fault_evident", "condition": "20_0", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 4.11, "0.25x": 1.49, "0.8333x": 6.0, "1x": 2.16, "2x": 3.22, "3x": 1.01}, "file": "Surface_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": ... | |
Here is a 2-D grayscale rendering of raw gearbox vibration samples (signal-to-image). What is the most likely gear condition (health, chipped, miss, root, surface)? | surface | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 12.39, "computed_verdict": "fault_evident", "condition": "20_0", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 6.89, "0.25x": 2.73, "0.8333x": 5.5, "1x": 3.68, "2x": 4.39, "3x": 2.06}, "file": "Surface_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": ... | |
Here is a 2-D grayscale rendering of raw gearbox vibration samples (signal-to-image). Determine the gearbox's health state. Answer with exactly one of: health, chipped, miss, root, surface. | surface | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 11.06, "computed_verdict": "fault_evident", "condition": "20_0", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 6.54, "0.25x": 3.29, "0.8333x": 4.52, "1x": 2.3, "2x": 4.28, "3x": 1.88}, "file": "Surface_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": ... | |
The picture encodes a gearbox drivetrain's raw vibration samples as pixel intensities in a 2-D grid. Determine the gearbox's health state. Answer with exactly one of: health, chipped, miss, root, surface. | surface | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 11.61, "computed_verdict": "fault_evident", "condition": "20_0", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 6.19, "0.25x": 1.88, "0.8333x": 5.42, "1x": 3.74, "2x": 2.91, "3x": 2.66}, "file": "Surface_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used":... | |
This grayscale texture is a gearbox vibration snapshot reshaped row-by-row into a square image. Classify the gear condition as one of: health, chipped, miss, root, surface. | surface | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 11.95, "computed_verdict": "fault_evident", "condition": "20_0", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 4.43, "0.25x": 3.78, "0.8333x": 7.53, "1x": 2.33, "2x": 3.1, "3x": 2.16}, "file": "Surface_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": ... | |
The picture encodes a gearbox drivetrain's raw vibration samples as pixel intensities in a 2-D grid. Diagnose the gearbox from this image, choosing from: health, chipped, miss, root, surface. | surface | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 10.62, "computed_verdict": "fault_evident", "condition": "20_0", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 5.87, "0.25x": 3.27, "0.8333x": 4.75, "1x": 2.89, "2x": 2.98, "3x": 1.5}, "file": "Surface_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": ... | |
You are looking at a signal-to-image encoding: consecutive gearbox vibration samples arranged as the rows of a grayscale square. Classify the gear condition as one of: health, chipped, miss, root, surface. | surface | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 14.86, "computed_verdict": "fault_evident", "condition": "20_0", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 7.31, "0.25x": 3.06, "0.8333x": 7.55, "1x": 3.14, "2x": 3.05, "3x": 1.39}, "file": "Surface_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used":... | |
A gearbox vibration time series has been folded into this square grayscale image, one row per segment of consecutive samples. Classify the gear condition as one of: health, chipped, miss, root, surface. | surface | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 13.76, "computed_verdict": "fault_evident", "condition": "20_0", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 6.51, "0.25x": 2.45, "0.8333x": 7.25, "1x": 3.24, "2x": 2.39, "3x": 1.55}, "file": "Surface_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used":... | |
Here is a 2-D grayscale rendering of raw gearbox vibration samples (signal-to-image). Diagnose the gearbox from this image, choosing from: health, chipped, miss, root, surface. | surface | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 11.6, "computed_verdict": "fault_evident", "condition": "20_0", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 4.6, "0.25x": 3.03, "0.8333x": 7.01, "1x": 2.69, "2x": 2.57, "3x": 2.04}, "file": "Surface_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": 1... | |
The image folds the raw vibration samples of a gearbox signal into a 2-D grayscale square (signal-to-image encoding). What is the most likely gear condition (health, chipped, miss, root, surface)? | surface | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 10.0, "computed_verdict": "fault_evident", "condition": "20_0", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 4.05, "0.25x": 2.37, "0.8333x": 5.95, "1x": 3.92, "2x": 3.33, "3x": 2.12}, "file": "Surface_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": ... | |
The picture encodes a gearbox drivetrain's raw vibration samples as pixel intensities in a 2-D grid. Based on the visible evidence, which gear condition applies: health, chipped, miss, root, surface? | surface | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 9.53, "computed_verdict": "fault_evident", "condition": "20_0", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 4.1, "0.25x": 2.0, "0.8333x": 5.42, "1x": 2.07, "2x": 3.72, "3x": 1.04}, "file": "Surface_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": 19... | |
The picture encodes a gearbox drivetrain's raw vibration samples as pixel intensities in a 2-D grid. Determine the gearbox's health state. Answer with exactly one of: health, chipped, miss, root, surface. | surface | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 12.17, "computed_verdict": "fault_evident", "condition": "20_0", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 6.5, "0.25x": 2.13, "0.8333x": 5.67, "1x": 3.4, "2x": 3.27, "3x": 1.49}, "file": "Surface_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": 1... | |
The image folds the raw vibration samples of a gearbox signal into a 2-D grayscale square (signal-to-image encoding). Based on the visible evidence, which gear condition applies: health, chipped, miss, root, surface? | surface | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 11.72, "computed_verdict": "fault_evident", "condition": "20_0", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 4.27, "0.25x": 3.31, "0.8333x": 7.45, "1x": 3.83, "2x": 4.2, "3x": 1.53}, "file": "Surface_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": ... | |
A gearbox vibration time series has been folded into this square grayscale image, one row per segment of consecutive samples. What is the most likely gear condition (health, chipped, miss, root, surface)? | surface | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 6.63, "computed_verdict": "healthy", "condition": "20_0", "evidence_tier": "weak", "family_obs": {"0.1667x": 2.73, "0.25x": 1.71, "0.8333x": 6.63, "1x": 4.28, "2x": 4.46, "3x": 0.92}, "file": "Surface_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": 19.994, "fs... | |
The picture encodes a gearbox drivetrain's raw vibration samples as pixel intensities in a 2-D grid. Determine the gearbox's health state. Answer with exactly one of: health, chipped, miss, root, surface. | surface | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 13.2, "computed_verdict": "fault_evident", "condition": "20_0", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 5.92, "0.25x": 1.32, "0.8333x": 7.28, "1x": 3.56, "2x": 4.07, "3x": 1.49}, "file": "Surface_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": ... | |
You are looking at a signal-to-image encoding: consecutive gearbox vibration samples arranged as the rows of a grayscale square. Based on the visible evidence, which gear condition applies: health, chipped, miss, root, surface? | surface | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 12.83, "computed_verdict": "fault_evident", "condition": "20_0", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 7.12, "0.25x": 3.37, "0.8333x": 5.71, "1x": 4.53, "2x": 4.42, "3x": 1.15}, "file": "Surface_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used":... | |
A gearbox vibration time series has been folded into this square grayscale image, one row per segment of consecutive samples. Determine the gearbox's health state. Answer with exactly one of: health, chipped, miss, root, surface. | surface | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 13.83, "computed_verdict": "fault_evident", "condition": "20_0", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 7.06, "0.25x": 2.27, "0.8333x": 6.77, "1x": 2.86, "2x": 5.54, "3x": 1.55}, "file": "Surface_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used":... | |
This grayscale texture is a gearbox vibration snapshot reshaped row-by-row into a square image. What is the most likely gear condition (health, chipped, miss, root, surface)? | surface | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 10.12, "computed_verdict": "fault_evident", "condition": "20_0", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 4.81, "0.25x": 1.1, "0.8333x": 5.31, "1x": 1.54, "2x": 3.91, "3x": 2.05}, "file": "Surface_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used": ... | |
The picture encodes a gearbox drivetrain's raw vibration samples as pixel intensities in a 2-D grid. Based on the visible evidence, which gear condition applies: health, chipped, miss, root, surface? | surface | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 13.36, "computed_verdict": "fault_evident", "condition": "20_0", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 6.88, "0.25x": 2.73, "0.8333x": 6.49, "1x": 3.35, "2x": 3.31, "3x": 2.66}, "file": "Surface_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used":... | |
A gearbox vibration time series has been folded into this square grayscale image, one row per segment of consecutive samples. Based on the visible evidence, which gear condition applies: health, chipped, miss, root, surface? | surface | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 14.64, "computed_verdict": "fault_evident", "condition": "20_0", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 7.96, "0.25x": 3.32, "0.8333x": 6.67, "1x": 3.17, "2x": 4.65, "3x": 1.35}, "file": "Surface_20_0", "fr_nominal": 20.0, "fr_source": "spectrum", "fr_used":... | |
Here is a 2-D grayscale rendering of raw gearbox vibration samples (signal-to-image). Classify the gear condition as one of: health, chipped, miss, root, surface. | surface | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 12.18, "computed_verdict": "fault_evident", "condition": "30_2", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 4.57, "0.25x": 2.7, "0.8333x": 7.61, "1x": 4.01, "2x": 3.27, "3x": 1.71}, "file": "Surface_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used": ... | |
The image folds the raw vibration samples of a gearbox signal into a 2-D grayscale square (signal-to-image encoding). Classify the gear condition as one of: health, chipped, miss, root, surface. | surface | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 12.53, "computed_verdict": "fault_evident", "condition": "30_2", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 3.73, "0.25x": 4.35, "0.8333x": 8.18, "1x": 5.86, "2x": 1.93, "3x": 1.86}, "file": "Surface_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used":... | |
Here is a 2-D grayscale rendering of raw gearbox vibration samples (signal-to-image). What is the most likely gear condition (health, chipped, miss, root, surface)? | surface | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 7.08, "computed_verdict": "healthy", "condition": "30_2", "evidence_tier": "weak", "family_obs": {"0.1667x": 3.55, "0.25x": 3.63, "0.8333x": 7.08, "1x": 5.33, "2x": 2.59, "3x": 1.89}, "file": "Surface_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used": 29.996, "fs... | |
The picture encodes a gearbox drivetrain's raw vibration samples as pixel intensities in a 2-D grid. Determine the gearbox's health state. Answer with exactly one of: health, chipped, miss, root, surface. | surface | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 18.1, "computed_verdict": "fault_evident", "condition": "30_2", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 5.7, "0.25x": 4.59, "0.8333x": 7.8, "1x": 5.41, "2x": 2.0, "3x": 2.34}, "file": "Surface_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used": 29.... | |
A gearbox vibration time series has been folded into this square grayscale image, one row per segment of consecutive samples. Classify the gear condition as one of: health, chipped, miss, root, surface. | surface | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 15.72, "computed_verdict": "fault_evident", "condition": "30_2", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 5.69, "0.25x": 4.88, "0.8333x": 5.14, "1x": 8.04, "2x": 0.51, "3x": 1.09}, "file": "Surface_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used":... | |
A gearbox vibration time series has been folded into this square grayscale image, one row per segment of consecutive samples. What is the most likely gear condition (health, chipped, miss, root, surface)? | surface | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 14.44, "computed_verdict": "fault_evident", "condition": "30_2", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 7.71, "0.25x": 3.35, "0.8333x": 6.73, "1x": 3.83, "2x": 1.44, "3x": 3.05}, "file": "Surface_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used":... | |
Here is a 2-D grayscale rendering of raw gearbox vibration samples (signal-to-image). Based on the visible evidence, which gear condition applies: health, chipped, miss, root, surface? | surface | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 16.71, "computed_verdict": "fault_evident", "condition": "30_2", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 4.93, "0.25x": 5.16, "0.8333x": 6.62, "1x": 4.51, "2x": 2.3, "3x": 3.56}, "file": "Surface_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used": ... | |
This grayscale texture is a gearbox vibration snapshot reshaped row-by-row into a square image. Diagnose the gearbox from this image, choosing from: health, chipped, miss, root, surface. | surface | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 11.05, "computed_verdict": "fault_evident", "condition": "30_2", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 4.16, "0.25x": 3.85, "0.8333x": 6.89, "1x": 6.17, "2x": 1.91, "3x": 1.58}, "file": "Surface_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used":... | |
You are looking at a signal-to-image encoding: consecutive gearbox vibration samples arranged as the rows of a grayscale square. Based on the visible evidence, which gear condition applies: health, chipped, miss, root, surface? | surface | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 5.18, "computed_verdict": "healthy", "condition": "30_2", "evidence_tier": "weak", "family_obs": {"0.1667x": 3.62, "0.25x": 2.95, "0.8333x": 5.18, "1x": 4.45, "2x": 2.52, "3x": 2.28}, "file": "Surface_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used": 29.996, "fs... | |
The picture encodes a gearbox drivetrain's raw vibration samples as pixel intensities in a 2-D grid. What is the most likely gear condition (health, chipped, miss, root, surface)? | surface | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 13.98, "computed_verdict": "fault_evident", "condition": "30_2", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 4.4, "0.25x": 4.07, "0.8333x": 5.51, "1x": 3.75, "2x": 3.0, "3x": 2.56}, "file": "Surface_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used": 2... | |
This grayscale texture is a gearbox vibration snapshot reshaped row-by-row into a square image. Determine the gearbox's health state. Answer with exactly one of: health, chipped, miss, root, surface. | surface | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 11.81, "computed_verdict": "fault_evident", "condition": "30_2", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 4.31, "0.25x": 3.36, "0.8333x": 7.5, "1x": 7.41, "2x": 2.25, "3x": 3.19}, "file": "Surface_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used": ... | |
You are looking at a signal-to-image encoding: consecutive gearbox vibration samples arranged as the rows of a grayscale square. What is the most likely gear condition (health, chipped, miss, root, surface)? | surface | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 14.38, "computed_verdict": "fault_evident", "condition": "30_2", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 5.66, "0.25x": 2.42, "0.8333x": 8.72, "1x": 3.85, "2x": 2.09, "3x": 1.84}, "file": "Surface_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used":... | |
You are looking at a signal-to-image encoding: consecutive gearbox vibration samples arranged as the rows of a grayscale square. Determine the gearbox's health state. Answer with exactly one of: health, chipped, miss, root, surface. | surface | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 10.65, "computed_verdict": "fault_evident", "condition": "30_2", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 4.19, "0.25x": 3.25, "0.8333x": 6.47, "1x": 4.7, "2x": 2.59, "3x": 2.14}, "file": "Surface_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used": ... | |
Here is a 2-D grayscale rendering of raw gearbox vibration samples (signal-to-image). Determine the gearbox's health state. Answer with exactly one of: health, chipped, miss, root, surface. | surface | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 7.44, "computed_verdict": "healthy", "condition": "30_2", "evidence_tier": "weak", "family_obs": {"0.1667x": 2.8, "0.25x": 2.72, "0.8333x": 7.44, "1x": 4.48, "2x": 2.25, "3x": 2.11}, "file": "Surface_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used": 29.995, "fs"... | |
This grayscale texture is a gearbox vibration snapshot reshaped row-by-row into a square image. Based on the visible evidence, which gear condition applies: health, chipped, miss, root, surface? | surface | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 8.13, "computed_verdict": "fault_evident", "condition": "30_2", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 3.89, "0.25x": 3.6, "0.8333x": 8.13, "1x": 4.71, "2x": 1.88, "3x": 3.14}, "file": "Surface_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used": 2... | |
You are looking at a signal-to-image encoding: consecutive gearbox vibration samples arranged as the rows of a grayscale square. Diagnose the gearbox from this image, choosing from: health, chipped, miss, root, surface. | surface | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 19.18, "computed_verdict": "fault_evident", "condition": "30_2", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 5.61, "0.25x": 5.37, "0.8333x": 8.2, "1x": 7.41, "2x": 2.03, "3x": 1.79}, "file": "Surface_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used": ... | |
Here is a 2-D grayscale rendering of raw gearbox vibration samples (signal-to-image). What is the most likely gear condition (health, chipped, miss, root, surface)? | surface | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 15.42, "computed_verdict": "fault_evident", "condition": "30_2", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 4.01, "0.25x": 4.91, "0.8333x": 6.5, "1x": 4.91, "2x": 1.95, "3x": 3.03}, "file": "Surface_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used": ... | |
A gearbox vibration time series has been folded into this square grayscale image, one row per segment of consecutive samples. Diagnose the gearbox from this image, choosing from: health, chipped, miss, root, surface. | surface | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 20.8, "computed_verdict": "fault_evident", "condition": "30_2", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 5.66, "0.25x": 6.48, "0.8333x": 8.67, "1x": 6.57, "2x": 3.06, "3x": 1.48}, "file": "Surface_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used": ... | |
Here is a 2-D grayscale rendering of raw gearbox vibration samples (signal-to-image). Based on the visible evidence, which gear condition applies: health, chipped, miss, root, surface? | surface | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 12.91, "computed_verdict": "fault_evident", "condition": "30_2", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 5.37, "0.25x": 2.93, "0.8333x": 7.55, "1x": 6.87, "2x": 2.84, "3x": 1.39}, "file": "Surface_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used":... | |
The image folds the raw vibration samples of a gearbox signal into a 2-D grayscale square (signal-to-image encoding). Diagnose the gearbox from this image, choosing from: health, chipped, miss, root, surface. | surface | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 19.85, "computed_verdict": "fault_evident", "condition": "30_2", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 5.37, "0.25x": 6.47, "0.8333x": 8.01, "1x": 5.08, "2x": 1.98, "3x": 2.34}, "file": "Surface_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used":... | |
A gearbox vibration time series has been folded into this square grayscale image, one row per segment of consecutive samples. Based on the visible evidence, which gear condition applies: health, chipped, miss, root, surface? | surface | null | C | T-C1 | {"channel": "planetary_x", "computed_score": 12.88, "computed_verdict": "fault_evident", "condition": "30_2", "evidence_tier": "confirmed", "family_obs": {"0.1667x": 4.86, "0.25x": 3.44, "0.8333x": 8.02, "1x": 4.46, "2x": 2.83, "3x": 3.13}, "file": "Surface_30_2", "fr_nominal": 30.0, "fr_source": "spectrum", "fr_used":... |
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