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README.md

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+---
+license: cc-by-nc-4.0
+task_categories:
+  - tabular-classification
+  - tabular-regression
+  - time-series-forecasting
+language:
+  - en
+tags:
+  - synthetic
+  - vibration
+  - fft
+  - condition-monitoring
+  - predictive-maintenance
+  - sensor-data
+  - oil-and-gas
+  - rotating-equipment
+  - iso-10816
+  - iso-20816
+  - iso-17359
+  - iso-13373
+  - iso-14224
+  - iso-4406
+  - api-rp-670
+  - api-rp-580
+  - iso-18436
+  - signal-processing
+  - 3-axis-vibration
+  - harmonic-analysis
+pretty_name: "OIL-040 — Synthetic Vibration & Sensor Dataset (Sample)"
+size_categories:
+  - 100K<n<1M
+---
+
+# OIL-040 — Synthetic Vibration & Sensor Dataset (Sample)
+
+A schema-identical preview of **OIL-040**, the XpertSystems.ai synthetic
+vibration-and-sensor dataset for oil & gas rotating equipment condition
+monitoring. The full product covers ~15,000 assets across a 365-day horizon
+with 96-bin FFT spectra. This sample is a custom HF preview (80 assets × 30
+days × 4 samples/day, 32-bin FFT) covering all 12 product tables, optimized
+for ISO 10816 / ISO 13373 / API RP 670 vibration analytics work.
+
+> **Built by** XpertSystems.ai — Synthetic Data Platform
+> **Contact** [pradeep@xpertsystems.ai](mailto:pradeep@xpertsystems.ai) · [xpertsystems.ai](https://xpertsystems.ai)
+> **License** CC-BY-NC-4.0 (sample); commercial license available for the full product.
+
+---
+
+## OIL-040 vs OIL-038 vs OIL-039 — what's different
+
+OIL-038, OIL-039, and OIL-040 are three complementary upstream-asset PdM
+products covering different research workloads:
+
+| Dimension | **OIL-040** (this dataset) | OIL-039 (PHM/RUL) | OIL-038 (failure events) |
+|---|---|---|---|
+| Primary focus | **3-axis vibration + FFT signal processing** | Per-timestamp RUL prognostics | Failure-event analytics + reliability KPIs |
+| 3-axis vibration (X/Y/Z) | Yes (horizontal-dominant) | RMS only | RMS only |
+| FFT spectra | 32-bin (sample), 96-bin (full) | 4-band (sample), 7-band (full) | None |
+| ISO 10816 calibration | Yes — median RMS in normal/alert band | Different unit normalization | ISO 10816 absolute units |
+| Sensor pack tiers | 4-tier (basic / standard / advanced / edge_ai) | None | None |
+| Pre-built labels | anomaly + fault_class + severity + rare_event + 30d target | RUL hours/days + 7d/30d failure prob | 30d/90d failure probability |
+| Best for | Signal-processing ML, FFT-based fault classification, ISO 10816 severity work | RUL regression, prognostics benchmarks | Reliability KPI fitting, MTBF/MTTR |
+
+Buy or download **all three** for complete PdM coverage. They share the
+upstream-asset, ISO 14224 / API RP 580 / API RP 670 calibration heritage.
+
+---
+
+## What's inside
+
+12 CSV tables covering 3-axis vibration + 5 supporting telemetry modalities
++ workorders + failures + per-record health/RUL/labels + 32-bin FFT spectra.
+
+| Table | Rows (sample) | What it represents |
+|---|---:|---|
+| `equipment_master.csv` | 80 | 12-type asset master with sensor pack, criticality, primary fault mode |
+| `vibration_timeseries.csv` | 9,600 | 3-axis (X/Y/Z) RMS mm/s + crest factor + kurtosis per timestamp |
+| `temperature_telemetry.csv` | 9,600 | Thermocouple temperature, gradient, overheat flag |
+| `pressure_telemetry.csv` | 9,600 | Pressure psi, delta, spike flag |
+| `acoustic_signals.csv` | 9,600 | Acoustic dB, ultrasonic energy, anomaly score |
+| `lubrication_analysis.csv` | 9,600 | Viscosity index, contamination, water ppm, lubrication risk |
+| `maintenance_workorders.csv` | ~80 | 6-type maintenance work orders with priority, downtime, notes quality |
+| `failure_events.csv` | ~5 | Per-failure mode + severity + repair cost + production loss |
+| `health_scores.csv` | 9,600 | Per-record health index, degradation score, condition state |
+| `remaining_useful_life.csv` | 9,600 | Per-record RUL days, 30d failure probability, maintenance recommendation |
+| `vibration_labels.csv` | 9,600 | Anomaly + fault class + severity + rare event flag + 30d target |
+| `fft_spectra.csv` | ~307,000 | 32-bin FFT (5–1000 Hz) with rotational harmonics + fault-defect frequency energy |
+
+Total: ~388,000 rows, ~40 MB. The full OIL-040 product is ~80 million rows
+with 96-bin FFT decomposition.
+
+---
+
+## Calibration sources
+
+Every distribution and ratio is anchored to **named public references**. The
+validation scorecard (see below) re-scores observed vs. target for 10
+industry-anchored metrics, every one citing its source. Highlights:
+
+- **ISO 10816 / ISO 20816** Mechanical vibration evaluation — vibration
+  severity bands (normal / alert / alarm / shutdown) for Class II rotating
+  equipment.
+- **ISO 17359** Condition monitoring of machines — crest factor severity bands.
+- **ISO 13373-1 / ISO 13373-2** Vibration condition monitoring — kurtosis,
+  spectrum analysis.
+- **ISO 18436-2** Vibration analyst certification conventions — horizontal /
+  vertical / axial axis amplitude relationships.
+- **API RP 670** Machinery Protection Systems — FFT decomposition standards
+  and rotational harmonic boost relationships (1x, 2x, 3x, 4x rpm).
+- **API RP 580** Risk-Based Inspection — criticality-tier distributions.
+- **ISO 14224:2016** Reliability and Maintenance Data — equipment taxonomy
+  and maintenance work classification.
+- **ISO 4406:2021** Hydraulic fluid power: cleanliness code thresholds.
+- **ARC Advisory PdM Maturity Survey** + **ISA-95 / OSDU** — advanced sensor
+  pack deployment baselines.
+- **Noria Lubrication Practices** — water content thresholds.
+
+---
+
+## Validation scorecard
+
+The wrapper ships a 10-metric scorecard (`validation_scorecard.json`) that
+re-scores the dataset on every generation. Default seed 42 result:
+
+| ID | Metric | Target | Observed | Source |
+|---|---|---|---:|---|
+| M01 | Vibration RMS median (mm/s) | 1.5–4.5 | **2.38** | ISO 10816 / ISO 20816 |
+| M02 | Crest factor (mean) | 2–6 | **3.30** | ISO 17359 / ISO 13373-1 |
+| M03 | Kurtosis (mean) | 2–6 | **4.35** | ISO 13373-1 |
+| M04 | Lubrication water ppm (ceiling) | ≤ 250 | **112** | ISO 4406 / Noria |
+| M05 | Horizontal-axis dominance (X/RMS) | 0.85–1.15 | **1.006** | ISO 18436-2 / API RP 670 |
+| M06 | Criticality tier ≥ 3 share | 0.60–0.80 | **0.775** | API RP 580 RBI |
+| M07 | Maintenance-type coverage (floor) | ≥ 6 | **6** | ISO 14224:2016 |
+| M08 | FFT bin coverage (floor) | ≥ 32 | **32** | API RP 670 / ISO 13373-2 |
+| M09 | Asset-type taxonomy (floor) | ≥ 12 | **12** | ISO 14224 |
+| M10 | Advanced sensor pack share (floor) | ≥ 0.25 | **0.388** | ARC Advisory / OSDU |
+
+**Grade: A+ (100/100). Verified across seeds 42, 7, 123, 2024, 99, 1.**
+
+---
+
+## Suggested use cases
+
+- **FFT-based fault classification** — 32-bin FFT spectra include classic
+  rotational harmonic peaks (1x, 2x, 3x, 4x rpm) and fault-specific defect
+  frequencies (6.3x rpm bearing tone, 14x rpm gear-mesh tone, 420 Hz
+  cavitation/surge band). Train CNN-on-spectrogram or 1D-conv classifiers.
+- **ISO 10816 vibration severity classification** — per-record RMS in mm/s
+  is calibrated to the standard's Class II band, enabling direct alert /
+  alarm / shutdown classifier training without unit conversion.
+- **3-axis anomaly detection** — X/Y/Z axis decomposition with the classic
+  horizontal-dominant ratio (X > Y > Z) makes this dataset suitable for
+  geometry-aware anomaly models and axis-mixing experiments.
+- **Crest factor + kurtosis impulsive fault detection** — both metrics are
+  ISO-calibrated and per-record, enabling bearing-fault and gear-mesh
+  detection benchmarking against ISO 13373-1 thresholds.
+- **Multi-modal sensor fusion** — 6 telemetry modalities (vibration +
+  temperature + pressure + acoustic + lubrication + health) are
+  per-`record_id`-aligned for tight multi-modal experiments.
+- **Sensor-pack tier ROI** — `sensor_pack` field (basic / standard /
+  advanced / edge_ai) on each asset enables ROI quantification of advanced
+  PdM hardware against detection rate and failure cost.
+- **Rare-event detection** — `rare_event_flag` in `vibration_labels.csv`
+  flags spike events (vibration ×1.7–3.8 multipliers) calibrated to
+  fault-mode-dependent rates; useful for imbalanced-class ML training.
+- **RUL regression** — `rul_days` is per-record and calibrated against
+  health index + failure probability; alternative to OIL-039's RUL bucket
+  formulation.
+
+---
+
+## Loading
+
+```python
+from datasets import load_dataset
+
+master = load_dataset(
+    "xpertsystems/oil040-sample",
+    data_files="equipment_master.csv",
+    split="train",
+)
+vibration = load_dataset(
+    "xpertsystems/oil040-sample",
+    data_files="vibration_timeseries.csv",
+    split="train",
+)
+fft = load_dataset(
+    "xpertsystems/oil040-sample",
+    data_files="fft_spectra.csv",
+    split="train",
+)
+labels = load_dataset(
+    "xpertsystems/oil040-sample",
+    data_files="vibration_labels.csv",
+    split="train",
+)
+```
+
+Or with pandas directly:
+
+```python
+import pandas as pd
+from huggingface_hub import hf_hub_download
+
+path = hf_hub_download(
+    repo_id="xpertsystems/oil040-sample",
+    filename="fft_spectra.csv",
+    repo_type="dataset",
+)
+df = pd.read_csv(path)
+```
+
+All 12 tables join on:
+
+- `equipment_id` → master ↔ all telemetry ↔ FFT ↔ workorders ↔ failures ↔ labels
+- `record_id` → tight per-timestamp join across all 6 telemetry modalities + labels + health + RUL
+- `timestamp` → temporal join across asset/record streams
+
+The shared `record_id` makes multi-modal fusion experiments straightforward:
+join on `record_id` to get every modality at the same instant for the same
+asset.
+
+---
+
+## Schema highlights
+
+**`equipment_master.csv`** — `equipment_id`, `facility_id`, `facility_type`
+(7-class: upstream / offshore / midstream / refinery / lng / petrochemical
+/ tank_farm), `asset_type` (12-class: centrifugal_pump /
+reciprocating_compressor / gas_turbine / steam_turbine / electric_motor /
+gearbox / pipeline_booster / drilling_mud_pump / lng_refrigeration_compressor
+/ refinery_process_pump / blower / offshore_lift_motor), `manufacturer`
+(6-class), `model`, `install_date`, `age_years`, `criticality` ∈ {1, 2, 3,
+4, 5}, `rated_rpm`, `bearing_count`, `sensor_pack` ∈ {basic, standard,
+advanced, edge_ai}, plus 4 baseline reference values per asset and
+`primary_fault_mode` (12-class).
+
+**`vibration_timeseries.csv`** — `record_id`, `equipment_id`, `timestamp`,
+`rpm`, `axis_x_mm_s`, `axis_y_mm_s`, `axis_z_mm_s` (horizontal-dominant
+ISO 18436 convention), `vibration_rms_mm_s` (ISO 10816 unit),
+`crest_factor` (ISO 17359), `kurtosis` (ISO 13373-1).
+
+**`fft_spectra.csv`** — Per-record × 32-bin FFT decomposition (5–1000 Hz
+linear), each row has `frequency_hz`, `amplitude`, `phase_angle`.
+Amplitude includes base lognormal noise + rotational harmonic boosts at
+{1x, 2x, 3x, 4x} rpm/60 + fault-defect frequency boosts: bearing tone at
+6.3x rpm (bearing_wear, lubrication_loss), gear-mesh tone at 14x rpm
+(gear_mesh_wear), and 420 Hz cavitation/surge band.
+
+**`vibration_labels.csv`** — `record_id`, `equipment_id`, `timestamp`,
+`anomaly_label` (binary), `fault_class` (12-class), `severity_level`
+(5-class: normal / low / medium / high / critical), `rare_event_flag`,
+`target_failure_30d`.
+
+**`maintenance_workorders.csv`** — `maintenance_type` (6-class:
+inspection / lubrication / bearing_replacement / alignment /
+sensor_calibration / overhaul), `priority` (4-class: low / medium / high /
+emergency), `downtime_hours`, `technician_notes_quality` ∈ {complete,
+partial, missing}.
+
+---
+
+## Calibration notes & limitations
+
+In the spirit of honest synthetic data, a few things buyers of the sample
+should know:
+
+1. **Custom HF preview sizing.** The default generator `sample` mode
+   produces ~326 MB (250 assets × 30 days × 24 samples/day × 32 FFT bins =
+   ~1.9M FFT rows). The HF preview is reduced to **80 assets × 30 days ×
+   4 samples/day** to stay under 50 MB while preserving every table,
+   schema, and the scorecard's industry-anchored calibration validity.
+   For higher time-density studies, override sizing with the underlying
+   generator's `--samples-per-day` and `--n-assets` flags, or use the
+   commercial full product.
+
+2. **Anomaly label rate is ~99%.** In `vibration_labels.csv`, the
+   `anomaly_label` (binary) is set to 1 whenever `condition_state != normal`,
+   and the severity-label thresholds combined with the fail_prob distribution
+   put ~99% of records in low/medium/high/critical bands. This is **a
+   labeling-convention artifact, not a positive-class density claim**.
+   For binary anomaly classification work, **use `severity_level` directly**
+   (5-class) or **threshold `failure_probability_30d > 0.70`** to recover
+   a balanced positive class (~5% of records). The full product ships a
+   threshold-tuned binary label variant.
+
+3. **Overheat flag is 0 in the sample.** `temperature_telemetry.csv`'s
+   `overheat_flag` triggers above 115°C, but at the 30-day window most assets
+   don't reach that threshold. For overheat-detection studies, lower the
+   threshold to 95°C in your downstream pipeline, or use the full product's
+   365-day window which exposes more thermal-overload events.
+
+4. **Only 9 of 12 fault modes appear at sample scale.** With 80 assets and
+   55% `normal` primary fault, only 9 of the 12 fault modes are represented
+   in any given seed's sample. For full taxonomy coverage, **use multiple
+   seeds and concatenate**, or use the full product (15,000 assets sees all
+   12 fault modes with statistically representative density).
+
+5. **Small failure-event count.** With 80 assets × 30 days, the sample
+   produces ~5–10 failure events depending on seed. Failure-severity
+   distributions are not reliably estimable at this scale (small-sample
+   variance). **For severity-pyramid analytics**, use OIL-038 (rich
+   failure-event tables) or OIL-039 (sigmoid-calibrated 7d/30d
+   probabilities).
+
+6. **FFT amplitude scale.** FFT amplitudes are in normalized units derived
+   from `vibration_rms_mm_s` × harmonic-boost factors. They are NOT
+   absolute G or m/s². For absolute-unit FFT work, calibrate against the
+   `vibration_rms_mm_s` baseline.
+
+7. **Deterministic seeding.** All 12 tables are deterministic on `--seed`.
+   Catalog default is seed 42. Seed sweep verifies Grade A+ across
+   {42, 7, 123, 2024, 99, 1}.
+
+---
+
+## Commercial / full product
+
+The full **OIL-040** product covers ~15,000 assets × 365 days × 24
+samples/day × 96-bin FFT decomposition (~80 million rows total), with
+threshold-tuned binary anomaly labels, full 12-fault-mode coverage at
+production scale, and longer-horizon thermal-overload events. Available
+under commercial license — contact
+[pradeep@xpertsystems.ai](mailto:pradeep@xpertsystems.ai).
+
+XpertSystems.ai also publishes synthetic data products across Cybersecurity,
+Healthcare, Insurance & Risk, Materials & Energy, and Oil & Gas verticals.
+Catalog: [huggingface.co/xpertsystems](https://huggingface.co/xpertsystems).

equipment_master.csv

@@ -0,0 +1,81 @@
+equipment_id,facility_id,facility_type,asset_type,manufacturer,model,install_date,age_years,criticality,rated_rpm,bearing_count,sensor_pack,baseline_vibration_rms_mm_s,baseline_temperature_c,baseline_pressure_psi,primary_fault_mode,initial_health_index
+EQ-0000001,FAC-00062,petrochemical,reciprocating_compressor,FlowDyne,MDL-784-REC,2015-05-26,2.61,4,1200,7,basic,1.4161,75.915,760.003,compressor_surge,79.732
+EQ-0000002,FAC-00558,midstream,refinery_process_pump,FlowDyne,MDL-348-REF,2010-12-31,7.01,3,3000,6,advanced,1.4936,79.003,592.185,normal,73.596
+EQ-0000003,FAC-00444,offshore,refinery_process_pump,PetroMotion,MDL-969-REF,2010-09-28,7.27,2,3000,4,standard,2.0772,78.161,599.489,rotor_imbalance,72.641
+EQ-0000004,FAC-00064,midstream,steam_turbine,NordCompressor,MDL-790-STE,2010-04-04,7.75,4,1200,7,advanced,1.8525,69.968,776.857,shaft_misalignment,74.602
+EQ-0000005,FAC-00458,offshore,refinery_process_pump,TurbineWorks,MDL-512-REF,2012-06-13,5.56,4,1800,5,basic,2.4727,60.208,794.29,cavitation,67.595
+EQ-0000006,FAC-00392,upstream,pipeline_booster,ApexRotary,MDL-412-PIP,2012-02-15,5.88,3,3000,5,standard,1.7139,56.519,416.008,normal,72.438
+EQ-0000007,FAC-00509,offshore,blower,PetroMotion,MDL-465-BLO,2012-03-12,5.81,3,1800,4,basic,1.6366,64.564,404.749,bearing_wear,79.551
+EQ-0000008,FAC-00108,petrochemical,refinery_process_pump,PetroMotion,MDL-314-REF,2012-08-19,5.37,4,1200,4,advanced,1.0407,54.976,381.914,normal,71.233
+EQ-0000009,FAC-00506,tank_farm,electric_motor,FlowDyne,MDL-503-ELE,2015-02-12,2.89,5,1200,7,basic,1.6474,75.563,309.082,shaft_misalignment,79.85
+EQ-0000010,FAC-00431,petrochemical,steam_turbine,PetroMotion,MDL-377-STE,2014-05-22,3.62,4,2400,6,standard,1.6923,58.789,652.27,shaft_misalignment,79.339
+EQ-0000011,FAC-00382,refinery,gas_turbine,NordCompressor,MDL-931-GAS,2009-06-16,8.55,2,1200,8,standard,2.0858,66.0,355.255,normal,70.287
+EQ-0000012,FAC-00105,refinery,pipeline_booster,TurbineWorks,MDL-587-PIP,2009-06-11,8.57,3,3000,5,standard,1.4342,64.262,509.823,pressure_instability,73.246
+EQ-0000013,FAC-00071,petrochemical,electric_motor,ApexRotary,MDL-352-ELE,2012-02-23,5.86,3,1500,3,advanced,1.8586,76.845,530.127,bearing_wear,71.133
+EQ-0000014,FAC-00626,offshore,drilling_mud_pump,NordCompressor,MDL-282-DRI,2014-09-16,3.3,4,900,8,standard,1.7295,67.633,502.138,cavitation,80.838
+EQ-0000015,FAC-00580,upstream,pipeline_booster,PetroMotion,MDL-384-PIP,2012-02-03,5.92,5,1200,2,advanced,2.2978,71.859,896.436,normal,75.112
+EQ-0000016,FAC-00485,upstream,refinery_process_pump,NordCompressor,MDL-430-REF,2016-01-04,2.0,4,3600,6,advanced,2.4324,59.947,735.799,normal,78.131
+EQ-0000017,FAC-00086,refinery,gearbox,RigForce,MDL-209-GEA,2013-03-10,4.82,2,1200,4,advanced,1.2515,60.097,559.858,shaft_misalignment,84.24
+EQ-0000018,FAC-00632,upstream,pipeline_booster,NordCompressor,MDL-218-PIP,2012-07-28,5.43,5,3000,5,advanced,2.4018,66.609,494.73,normal,73.632
+EQ-0000019,FAC-00273,refinery,drilling_mud_pump,ApexRotary,MDL-635-DRI,2012-01-29,5.93,2,3000,3,advanced,1.1415,62.684,676.809,thermal_overload,84.409
+EQ-0000020,FAC-00606,midstream,offshore_lift_motor,RigForce,MDL-777-OFF,2014-07-15,3.47,3,3000,6,standard,1.4054,67.152,303.609,normal,72.475
+EQ-0000021,FAC-00069,offshore,pipeline_booster,PetroMotion,MDL-634-PIP,2015-11-14,2.14,4,3600,4,advanced,1.3559,65.792,759.921,normal,82.117
+EQ-0000022,FAC-00127,offshore,reciprocating_compressor,NordCompressor,MDL-847-REC,2013-02-05,4.91,1,1200,2,standard,2.2557,69.399,683.316,normal,81.221
+EQ-0000023,FAC-00154,tank_farm,lng_refrigeration_compressor,TurbineWorks,MDL-613-LNG,2014-09-13,3.31,2,3600,8,basic,1.2994,78.72,667.295,normal,83.798
+EQ-0000024,FAC-00377,lng,electric_motor,FlowDyne,MDL-664-ELE,2009-01-14,8.97,5,900,6,advanced,1.7534,65.732,647.461,cavitation,78.04
+EQ-0000025,FAC-00091,refinery,blower,ApexRotary,MDL-474-BLO,2013-05-30,4.6,2,900,6,standard,2.1887,65.043,608.962,normal,74.649
+EQ-0000026,FAC-00299,offshore,gas_turbine,TurbineWorks,MDL-963-GAS,2007-03-16,10.81,3,1500,7,advanced,2.1726,65.331,631.978,normal,67.886
+EQ-0000027,FAC-00086,petrochemical,gas_turbine,TurbineWorks,MDL-185-GAS,2015-09-02,2.34,4,3600,6,basic,1.0926,67.397,409.039,bearing_wear,77.122
+EQ-0000028,FAC-00469,midstream,lng_refrigeration_compressor,TurbineWorks,MDL-145-LNG,2010-04-24,7.7,5,2400,2,standard,1.5065,78.398,729.577,normal,60.691
+EQ-0000029,FAC-00390,refinery,lng_refrigeration_compressor,RigForce,MDL-207-LNG,2012-06-08,5.57,3,1200,7,basic,1.9658,75.619,517.23,compressor_surge,81.461
+EQ-0000030,FAC-00346,petrochemical,reciprocating_compressor,NordCompressor,MDL-381-REC,2011-11-17,6.13,2,1500,3,basic,2.2499,58.473,597.498,normal,85.557
+EQ-0000031,FAC-00245,refinery,gas_turbine,ApexRotary,MDL-745-GAS,2014-12-07,3.07,3,900,7,basic,2.8474,66.154,259.366,compressor_surge,88.287
+EQ-0000032,FAC-00629,upstream,offshore_lift_motor,PetroMotion,MDL-383-OFF,2012-04-24,5.69,4,2400,5,standard,2.0359,70.486,365.702,normal,64.302
+EQ-0000033,FAC-00649,tank_farm,centrifugal_pump,ApexRotary,MDL-684-CEN,2014-01-26,3.94,2,2400,6,advanced,2.0385,61.658,587.67,bearing_wear,81.657
+EQ-0000034,FAC-00102,petrochemical,reciprocating_compressor,ApexRotary,MDL-837-REC,2013-11-09,4.15,1,1200,6,advanced,1.133,46.997,497.912,normal,85.577
+EQ-0000035,FAC-00027,tank_farm,offshore_lift_motor,ApexRotary,MDL-212-OFF,2012-01-01,6.01,4,1800,6,advanced,1.8415,60.463,513.008,normal,68.091
+EQ-0000036,FAC-00331,upstream,pipeline_booster,ApexRotary,MDL-163-PIP,2013-10-04,4.25,5,1200,6,basic,1.741,51.522,787.093,bearing_wear,73.09
+EQ-0000037,FAC-00414,offshore,refinery_process_pump,PetroMotion,MDL-230-REF,2015-06-17,2.55,4,1200,3,standard,1.1354,77.605,560.332,bearing_wear,85.044
+EQ-0000038,FAC-00632,offshore,offshore_lift_motor,ApexRotary,MDL-952-OFF,2013-02-02,4.92,3,1200,3,standard,1.4195,70.998,615.345,normal,79.716
+EQ-0000039,FAC-00024,midstream,reciprocating_compressor,PetroMotion,MDL-526-REC,2016-05-11,1.64,3,3600,3,standard,1.9565,64.336,568.815,normal,82.836
+EQ-0000040,FAC-00342,lng,gas_turbine,PetroMotion,MDL-964-GAS,2013-09-15,4.3,3,1500,5,advanced,1.8412,73.227,609.779,bearing_wear,78.003
+EQ-0000041,FAC-00076,petrochemical,steam_turbine,RigForce,MDL-856-STE,2011-02-22,6.87,3,900,7,standard,2.0043,65.222,788.398,normal,66.747
+EQ-0000042,FAC-00156,tank_farm,centrifugal_pump,TurbineWorks,MDL-700-CEN,2016-11-20,1.12,3,900,2,standard,1.5554,89.784,698.279,normal,79.719
+EQ-0000043,FAC-00007,lng,refinery_process_pump,FlowDyne,MDL-572-REF,2016-04-26,1.69,4,1500,5,basic,2.204,82.66,445.373,normal,76.021
+EQ-0000044,FAC-00543,petrochemical,reciprocating_compressor,FlowDyne,MDL-137-REC,2013-04-10,4.73,3,3600,5,standard,1.6372,59.53,539.258,normal,80.619
+EQ-0000045,FAC-00321,offshore,drilling_mud_pump,NordCompressor,MDL-319-DRI,2010-04-24,7.7,3,3000,7,advanced,1.7193,65.72,591.347,normal,75.964
+EQ-0000046,FAC-00345,petrochemical,blower,FlowDyne,MDL-719-BLO,2010-01-07,7.99,4,1500,7,standard,1.6618,61.218,434.193,normal,66.988
+EQ-0000047,FAC-00596,refinery,pipeline_booster,PetroMotion,MDL-259-PIP,2014-03-07,3.83,3,3600,2,standard,1.7282,62.124,718.717,bearing_wear,80.341
+EQ-0000048,FAC-00464,upstream,electric_motor,RigForce,MDL-821-ELE,2012-11-22,5.11,4,2400,6,standard,1.6864,71.271,186.214,bearing_wear,70.737
+EQ-0000049,FAC-00286,petrochemical,drilling_mud_pump,RigForce,MDL-688-DRI,2015-06-19,2.54,4,3000,4,edge_ai,1.9121,84.392,322.683,bearing_wear,73.071
+EQ-0000050,FAC-00158,refinery,offshore_lift_motor,PetroMotion,MDL-166-OFF,2014-03-14,3.81,3,3000,7,basic,1.5176,62.27,717.404,thermal_overload,83.236
+EQ-0000051,FAC-00439,upstream,gas_turbine,TurbineWorks,MDL-795-GAS,2016-07-01,1.51,2,3600,2,advanced,2.1212,70.175,509.484,bearing_wear,90.725
+EQ-0000052,FAC-00494,offshore,blower,PetroMotion,MDL-729-BLO,2012-07-26,5.44,4,3600,8,advanced,1.3317,46.285,909.969,normal,88.892
+EQ-0000053,FAC-00576,midstream,blower,FlowDyne,MDL-176-BLO,2016-10-28,1.18,2,1800,6,advanced,2.1146,86.474,650.953,normal,82.158
+EQ-0000054,FAC-00040,refinery,electric_motor,PetroMotion,MDL-545-ELE,2010-05-27,7.61,4,900,8,standard,1.7216,83.011,421.327,bearing_wear,76.59
+EQ-0000055,FAC-00273,upstream,pipeline_booster,RigForce,MDL-776-PIP,2015-01-14,2.97,3,1800,5,standard,1.7633,52.649,329.181,pressure_instability,82.796
+EQ-0000056,FAC-00555,midstream,pipeline_booster,NordCompressor,MDL-369-PIP,2017-06-05,0.58,4,1800,4,basic,2.8722,71.782,689.787,normal,80.902
+EQ-0000057,FAC-00529,refinery,drilling_mud_pump,NordCompressor,MDL-808-DRI,2010-05-13,7.65,4,1200,5,standard,2.4743,63.87,543.541,lubrication_loss,75.177
+EQ-0000058,FAC-00034,tank_farm,gas_turbine,NordCompressor,MDL-614-GAS,2008-12-03,9.09,2,1800,2,standard,1.7095,78.017,575.889,normal,69.597
+EQ-0000059,FAC-00197,midstream,drilling_mud_pump,NordCompressor,MDL-474-DRI,2008-06-18,9.55,2,3600,3,basic,1.3342,67.891,582.076,normal,68.142
+EQ-0000060,FAC-00149,upstream,centrifugal_pump,NordCompressor,MDL-637-CEN,2010-02-09,7.9,4,1500,3,standard,1.3847,81.151,670.866,normal,77.15
+EQ-0000061,FAC-00031,upstream,gearbox,ApexRotary,MDL-926-GEA,2015-07-23,2.45,2,2400,2,standard,2.1632,53.421,215.492,normal,87.393
+EQ-0000062,FAC-00347,upstream,centrifugal_pump,TurbineWorks,MDL-511-CEN,2015-05-12,2.65,1,1800,3,advanced,1.3981,68.103,566.132,cavitation,78.482
+EQ-0000063,FAC-00207,lng,offshore_lift_motor,ApexRotary,MDL-640-OFF,2004-06-19,13.55,4,1200,4,standard,2.133,73.732,681.342,cavitation,57.904
+EQ-0000064,FAC-00537,midstream,gas_turbine,NordCompressor,MDL-211-GAS,2014-04-16,3.72,4,900,8,standard,1.8054,69.825,423.175,shaft_misalignment,80.112
+EQ-0000065,FAC-00645,refinery,refinery_process_pump,PetroMotion,MDL-214-REF,2015-11-23,2.11,1,1800,6,advanced,1.7087,58.258,592.811,normal,80.443
+EQ-0000066,FAC-00034,refinery,blower,TurbineWorks,MDL-240-BLO,2010-10-29,7.18,4,2400,3,advanced,1.8175,60.395,424.934,normal,75.862
+EQ-0000067,FAC-00639,lng,refinery_process_pump,RigForce,MDL-562-REF,2007-04-10,10.74,4,3000,8,advanced,1.9138,63.464,506.948,normal,71.607
+EQ-0000068,FAC-00443,lng,centrifugal_pump,NordCompressor,MDL-926-CEN,2011-11-02,6.17,5,1500,8,edge_ai,1.2771,48.95,284.868,normal,74.049
+EQ-0000069,FAC-00509,midstream,drilling_mud_pump,PetroMotion,MDL-194-DRI,2013-01-18,4.96,4,1800,7,advanced,1.3975,65.064,876.947,bearing_wear,85.885
+EQ-0000070,FAC-00409,refinery,blower,PetroMotion,MDL-663-BLO,2003-09-22,14.29,4,900,4,standard,2.1831,61.635,794.42,lubrication_loss,64.159
+EQ-0000071,FAC-00086,refinery,pipeline_booster,NordCompressor,MDL-715-PIP,2009-02-14,8.89,3,3000,2,edge_ai,1.3581,55.019,609.486,normal,74.002
+EQ-0000072,FAC-00296,midstream,electric_motor,NordCompressor,MDL-215-ELE,2009-06-23,8.53,3,1200,2,standard,2.1259,68.567,279.45,normal,64.193
+EQ-0000073,FAC-00586,offshore,gas_turbine,TurbineWorks,MDL-983-GAS,2013-05-13,4.64,4,3000,4,basic,1.93,79.205,542.359,compressor_surge,64.551
+EQ-0000074,FAC-00295,petrochemical,offshore_lift_motor,ApexRotary,MDL-195-OFF,2014-12-16,3.05,2,3000,7,standard,1.412,72.31,343.584,normal,83.642
+EQ-0000075,FAC-00079,petrochemical,reciprocating_compressor,FlowDyne,MDL-190-REC,2013-02-20,4.87,5,1500,4,advanced,1.4617,71.573,720.005,thermal_overload,72.293
+EQ-0000076,FAC-00468,tank_farm,steam_turbine,NordCompressor,MDL-399-STE,2007-12-07,10.08,3,2400,3,basic,1.4098,69.073,517.139,normal,71.38
+EQ-0000077,FAC-00086,refinery,steam_turbine,NordCompressor,MDL-956-STE,2013-03-17,4.8,3,1500,2,edge_ai,1.9393,73.306,412.844,normal,77.843
+EQ-0000078,FAC-00047,tank_farm,gearbox,PetroMotion,MDL-972-GEA,2009-04-26,8.69,3,900,4,standard,1.9511,41.625,688.919,shaft_misalignment,55.563
+EQ-0000079,FAC-00033,refinery,electric_motor,ApexRotary,MDL-814-ELE,2011-01-22,6.95,3,1800,6,advanced,1.9836,82.552,643.585,normal,70.797
+EQ-0000080,FAC-00258,midstream,drilling_mud_pump,PetroMotion,MDL-817-DRI,2012-10-15,5.22,3,2400,2,basic,1.7522,70.008,731.027,normal,72.801

failure_events.csv

@@ -0,0 +1,6 @@
+failure_id,equipment_id,timestamp,failure_mode,severity,estimated_repair_cost_usd,production_loss_bbl
+FAIL-EQ-0000057-000114,EQ-0000057,2025-01-29T12:00:00+00:00,lubrication_loss,critical,27952.58,478.92
+FAIL-EQ-0000057-000118,EQ-0000057,2025-01-30T12:00:00+00:00,lubrication_loss,critical,64972.81,1766.22
+FAIL-EQ-0000063-000104,EQ-0000063,2025-01-27T00:00:00+00:00,cavitation,critical,64733.41,1497.61
+FAIL-EQ-0000073-000084,EQ-0000073,2025-01-22T00:00:00+00:00,compressor_surge,critical,50194.69,3371.91
+FAIL-EQ-0000075-000110,EQ-0000075,2025-01-28T12:00:00+00:00,thermal_overload,critical,38185.88,1306.09

fft_spectra.csv

@@ -0,0 +1,3 @@
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+size 35000488

maintenance_workorders.csv

@@ -0,0 +1,81 @@
+workorder_id,equipment_id,timestamp,maintenance_type,priority,downtime_hours,technician_notes_quality
+WO-EQ-0000001-000009,EQ-0000001,2025-01-03T06:00:00+00:00,bearing_replacement,medium,13.38,complete
+WO-EQ-0000002-000090,EQ-0000002,2025-01-23T12:00:00+00:00,bearing_replacement,high,4.2,partial
+WO-EQ-0000002-000112,EQ-0000002,2025-01-29T00:00:00+00:00,lubrication,low,3.37,missing
+WO-EQ-0000002-000117,EQ-0000002,2025-01-30T06:00:00+00:00,sensor_calibration,high,6.79,complete
+WO-EQ-0000003-000040,EQ-0000003,2025-01-11T00:00:00+00:00,overhaul,medium,3.41,complete
+WO-EQ-0000004-000064,EQ-0000004,2025-01-17T00:00:00+00:00,lubrication,medium,1.15,partial
+WO-EQ-0000004-000082,EQ-0000004,2025-01-21T12:00:00+00:00,lubrication,medium,8.44,partial
+WO-EQ-0000004-000113,EQ-0000004,2025-01-29T06:00:00+00:00,bearing_replacement,low,3.8,complete
+WO-EQ-0000005-000032,EQ-0000005,2025-01-09T00:00:00+00:00,alignment,low,4.04,complete
+WO-EQ-0000007-000010,EQ-0000007,2025-01-03T12:00:00+00:00,bearing_replacement,medium,13.84,complete
+WO-EQ-0000008-000002,EQ-0000008,2025-01-01T12:00:00+00:00,lubrication,medium,22.9,missing
+WO-EQ-0000008-000022,EQ-0000008,2025-01-06T12:00:00+00:00,sensor_calibration,low,11.55,partial
+WO-EQ-0000008-000072,EQ-0000008,2025-01-19T00:00:00+00:00,sensor_calibration,medium,7.88,complete
+WO-EQ-0000008-000074,EQ-0000008,2025-01-19T12:00:00+00:00,alignment,medium,7.14,complete
+WO-EQ-0000011-000060,EQ-0000011,2025-01-16T00:00:00+00:00,sensor_calibration,medium,12.77,complete
+WO-EQ-0000011-000071,EQ-0000011,2025-01-18T18:00:00+00:00,lubrication,low,4.25,complete
+WO-EQ-0000012-000081,EQ-0000012,2025-01-21T06:00:00+00:00,sensor_calibration,high,11.02,complete
+WO-EQ-0000013-000003,EQ-0000013,2025-01-01T18:00:00+00:00,sensor_calibration,low,14.44,missing
+WO-EQ-0000013-000083,EQ-0000013,2025-01-21T18:00:00+00:00,overhaul,medium,7.02,complete
+WO-EQ-0000014-000060,EQ-0000014,2025-01-16T00:00:00+00:00,sensor_calibration,high,3.18,complete
+WO-EQ-0000016-000002,EQ-0000016,2025-01-01T12:00:00+00:00,sensor_calibration,low,5.18,complete
+WO-EQ-0000017-000009,EQ-0000017,2025-01-03T06:00:00+00:00,alignment,high,11.33,complete
+WO-EQ-0000017-000076,EQ-0000017,2025-01-20T00:00:00+00:00,inspection,medium,1.02,partial
+WO-EQ-0000020-000088,EQ-0000020,2025-01-23T00:00:00+00:00,alignment,high,1.55,complete
+WO-EQ-0000023-000009,EQ-0000023,2025-01-03T06:00:00+00:00,sensor_calibration,high,2.38,complete
+WO-EQ-0000025-000054,EQ-0000025,2025-01-14T12:00:00+00:00,lubrication,low,3.89,complete
+WO-EQ-0000025-000089,EQ-0000025,2025-01-23T06:00:00+00:00,overhaul,low,3.5,complete
+WO-EQ-0000026-000112,EQ-0000026,2025-01-29T00:00:00+00:00,lubrication,medium,9.09,missing
+WO-EQ-0000027-000103,EQ-0000027,2025-01-26T18:00:00+00:00,inspection,emergency,2.73,complete
+WO-EQ-0000027-000106,EQ-0000027,2025-01-27T12:00:00+00:00,overhaul,low,4.85,complete
+WO-EQ-0000029-000077,EQ-0000029,2025-01-20T06:00:00+00:00,inspection,low,4.32,complete
+WO-EQ-0000030-000063,EQ-0000030,2025-01-16T18:00:00+00:00,bearing_replacement,medium,5.26,complete
+WO-EQ-0000030-000111,EQ-0000030,2025-01-28T18:00:00+00:00,alignment,low,10.51,partial
+WO-EQ-0000031-000015,EQ-0000031,2025-01-04T18:00:00+00:00,overhaul,high,3.12,complete
+WO-EQ-0000032-000024,EQ-0000032,2025-01-07T00:00:00+00:00,bearing_replacement,medium,2.07,complete
+WO-EQ-0000032-000032,EQ-0000032,2025-01-09T00:00:00+00:00,overhaul,low,5.9,partial
+WO-EQ-0000033-000055,EQ-0000033,2025-01-14T18:00:00+00:00,sensor_calibration,medium,5.38,complete
+WO-EQ-0000034-000020,EQ-0000034,2025-01-06T00:00:00+00:00,sensor_calibration,medium,3.23,complete
+WO-EQ-0000034-000021,EQ-0000034,2025-01-06T06:00:00+00:00,alignment,medium,4.13,missing
+WO-EQ-0000034-000109,EQ-0000034,2025-01-28T06:00:00+00:00,lubrication,medium,2.05,complete
+WO-EQ-0000035-000004,EQ-0000035,2025-01-02T00:00:00+00:00,alignment,medium,7.75,complete
+WO-EQ-0000035-000113,EQ-0000035,2025-01-29T06:00:00+00:00,sensor_calibration,high,2.36,complete
+WO-EQ-0000038-000063,EQ-0000038,2025-01-16T18:00:00+00:00,alignment,low,0.86,complete
+WO-EQ-0000039-000065,EQ-0000039,2025-01-17T06:00:00+00:00,lubrication,medium,5.39,complete
+WO-EQ-0000040-000031,EQ-0000040,2025-01-08T18:00:00+00:00,bearing_replacement,emergency,2.23,partial
+WO-EQ-0000041-000011,EQ-0000041,2025-01-03T18:00:00+00:00,sensor_calibration,emergency,2.66,complete
+WO-EQ-0000041-000065,EQ-0000041,2025-01-17T06:00:00+00:00,overhaul,low,20.11,partial
+WO-EQ-0000041-000094,EQ-0000041,2025-01-24T12:00:00+00:00,overhaul,high,9.39,complete
+WO-EQ-0000045-000052,EQ-0000045,2025-01-14T00:00:00+00:00,lubrication,medium,1.62,complete
+WO-EQ-0000045-000074,EQ-0000045,2025-01-19T12:00:00+00:00,alignment,medium,11.28,complete
+WO-EQ-0000046-000082,EQ-0000046,2025-01-21T12:00:00+00:00,overhaul,medium,5.85,complete
+WO-EQ-0000047-000069,EQ-0000047,2025-01-18T06:00:00+00:00,bearing_replacement,high,6.91,partial
+WO-EQ-0000049-000101,EQ-0000049,2025-01-26T06:00:00+00:00,sensor_calibration,medium,8.3,complete
+WO-EQ-0000050-000056,EQ-0000050,2025-01-15T00:00:00+00:00,lubrication,high,4.83,partial
+WO-EQ-0000051-000071,EQ-0000051,2025-01-18T18:00:00+00:00,bearing_replacement,high,1.85,complete
+WO-EQ-0000052-000039,EQ-0000052,2025-01-10T18:00:00+00:00,sensor_calibration,medium,14.77,complete
+WO-EQ-0000053-000058,EQ-0000053,2025-01-15T12:00:00+00:00,sensor_calibration,low,3.31,complete
+WO-EQ-0000053-000063,EQ-0000053,2025-01-16T18:00:00+00:00,bearing_replacement,medium,9.33,complete
+WO-EQ-0000054-000040,EQ-0000054,2025-01-11T00:00:00+00:00,bearing_replacement,emergency,12.74,complete
+WO-EQ-0000055-000077,EQ-0000055,2025-01-20T06:00:00+00:00,alignment,low,1.07,complete
+WO-EQ-0000056-000011,EQ-0000056,2025-01-03T18:00:00+00:00,bearing_replacement,emergency,5.52,complete
+WO-EQ-0000059-000073,EQ-0000059,2025-01-19T06:00:00+00:00,overhaul,medium,2.26,complete
+WO-EQ-0000060-000034,EQ-0000060,2025-01-09T12:00:00+00:00,overhaul,low,4.66,complete
+WO-EQ-0000061-000002,EQ-0000061,2025-01-01T12:00:00+00:00,overhaul,emergency,5.56,partial
+WO-EQ-0000061-000101,EQ-0000061,2025-01-26T06:00:00+00:00,alignment,low,1.63,complete
+WO-EQ-0000063-000019,EQ-0000063,2025-01-05T18:00:00+00:00,alignment,medium,8.75,missing
+WO-EQ-0000065-000082,EQ-0000065,2025-01-21T12:00:00+00:00,sensor_calibration,emergency,17.01,complete
+WO-EQ-0000067-000103,EQ-0000067,2025-01-26T18:00:00+00:00,overhaul,high,7.75,complete
+WO-EQ-0000069-000019,EQ-0000069,2025-01-05T18:00:00+00:00,bearing_replacement,medium,2.79,complete
+WO-EQ-0000069-000083,EQ-0000069,2025-01-21T18:00:00+00:00,sensor_calibration,high,4.36,complete
+WO-EQ-0000069-000099,EQ-0000069,2025-01-25T18:00:00+00:00,alignment,high,2.09,complete
+WO-EQ-0000069-000109,EQ-0000069,2025-01-28T06:00:00+00:00,bearing_replacement,high,1.51,complete
+WO-EQ-0000072-000073,EQ-0000072,2025-01-19T06:00:00+00:00,alignment,medium,7.04,complete
+WO-EQ-0000072-000111,EQ-0000072,2025-01-28T18:00:00+00:00,alignment,low,5.51,complete
+WO-EQ-0000073-000045,EQ-0000073,2025-01-12T06:00:00+00:00,overhaul,low,17.09,complete
+WO-EQ-0000075-000021,EQ-0000075,2025-01-06T06:00:00+00:00,sensor_calibration,medium,3.68,complete
+WO-EQ-0000075-000060,EQ-0000075,2025-01-16T00:00:00+00:00,bearing_replacement,low,18.83,complete
+WO-EQ-0000075-000107,EQ-0000075,2025-01-27T18:00:00+00:00,inspection,medium,3.23,complete
+WO-EQ-0000076-000026,EQ-0000076,2025-01-07T12:00:00+00:00,lubrication,high,19.63,partial
+WO-EQ-0000076-000035,EQ-0000076,2025-01-09T18:00:00+00:00,inspection,high,1.17,partial