File size: 7,316 Bytes
d373b05 7c7bc63 d373b05 b0db2d4 d373b05 b0db2d4 ef6f2cc d373b05 7c7bc63 b0db2d4 7c7bc63 d373b05 7c7bc63 d373b05 7c7bc63 ef6f2cc d19d456 ef6f2cc d19d456 ef6f2cc 7c7bc63 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 | ---
license: mit
configs:
- config_name: source_metadata
data_files:
- split: train
path: source_metadata/*.parquet
- config_name: bearings
data_files:
- split: train
path: bearings/*.parquet
- config_name: gearboxes
data_files:
- split: train
path: gearboxes/*.parquet
- config_name: v2_train
data_files:
- split: train
path: v2_train/*.parquet
---
# Mechanical Components Vibration Dataset
Comprehensive multi-source mechanical vibration dataset for training cross-component fault diagnosis and prognostics models. Designed for the Mechanical-JEPA project.
**Total: ~12,000+ samples | 9.5 GB | 16 sources | 5 component types**
## Quick Start
```python
from datasets import load_dataset
bearings = load_dataset("Forgis/Mechanical-Components", "bearings", split="train")
gearboxes = load_dataset("Forgis/Mechanical-Components", "gearboxes", split="train")
sources = load_dataset("Forgis/Mechanical-Components", "source_metadata", split="train")
```
## Two-Level Schema
**source_metadata** (16 entries): One row per source dataset with constant properties.
**bearings/gearboxes** configs: Per-sample data linked via `source_id` foreign key.
## Dataset Sources
### Bearings (~10,000 samples from 10 sources)
| Source | Samples | Component | Sensors | Unique Value |
|--------|---------|-----------|---------|--------------|
| [CWRU](https://engineering.case.edu/bearingdatacenter) | 40 | Ball bearing | Vibration | Standard benchmark |
| [MFPT](https://www.mfpt.org/fault-data-sets/) | 20 | Ball bearing | Vibration | Variable load |
| [FEMTO](https://www.nasa.gov/content/prognostics-center-of-excellence-data-set-repository) | 3,569 | Ball bearing | Vibration, temperature | Run-to-failure (RUL) |
| [Mendeley](https://data.mendeley.com/datasets/vxkj334rzv/7) | 280 | Ball bearing | Vibration | **Speed transitions** (action-conditioning) |
| [XJTU-SY](https://github.com/WangBiaoXJTU/xjtu-sy-bearing-datasets) | 1,370 | Ball bearing | Vibration | Run-to-failure (RUL) |
| [IMS/NASA](https://data.nasa.gov/dataset/ims-bearings) | 1,256 | Ball bearing | Vibration | Run-to-failure (RUL) |
| [Paderborn](https://mb.uni-paderborn.de/kat/forschung/bearing-datacenter/) | 384 | Ball bearing | Vibration, **current** | Real + artificial faults |
| [MAFAULDA](https://www02.smt.ufrj.br/~offshore/mfs/page_01.html) | 800 | **Shaft+bearing** | Vibration, **acoustic**, tachometer | **Imbalance, misalignment** (shaft faults!) |
| [Ottawa](https://data.mendeley.com/datasets/y2px5tg92h/1) | 180 | Ball bearing | Vibration, **acoustic** | **Cage faults**, 3 health stages |
| [SCA Pulp Mill](https://data.mendeley.com/datasets/tdn96mkkpt/2) | 2,663 | Industrial bearing | Vibration | **Real industrial data** |
| [VBL-VA001](https://zenodo.org/records/7006575) | 800 | Shaft+bearing | Vibration (triaxial) | Misalignment, unbalance |
| [SEU](https://github.com/cathysiyu/Mechanical-datasets) | 140 | Drivetrain bearing | 8-ch (motor+gearbox) | Cross-component rig |
### Gearboxes (~1,225 samples from 4 sources)
| Source | Samples | Component | Sensors | Unique Value |
|--------|---------|-----------|---------|--------------|
| [OEDI](https://data.openei.org/submissions/623) | 20 | Spur gear | Vibration (4-ch) | Healthy vs gear crack |
| [PHM 2009](https://phmsociety.org/public-data-sets/) | 109 | Spur gear | Vibration, tachometer | Challenge data |
| [MCC5-THU](https://github.com/liuzy0708/MCC5-THU-Gearbox-Benchmark-Datasets) | 956 | Spur gear | Vibration | **Speed/load transitions** |
| [SEU](https://github.com/cathysiyu/Mechanical-datasets) | 140 | Planetary+parallel | 8-ch (motor+gearbox) | Cross-component rig |
## Component Types Covered
| Component | Sources | Fault Types |
|-----------|---------|-------------|
| **Bearings** | CWRU, MFPT, FEMTO, Mendeley, XJTU-SY, IMS, Paderborn, Ottawa, SCA | inner_race, outer_race, ball, cage, compound, degrading |
| **Gears** | OEDI, PHM2009, MCC5-THU, SEU | gear_crack, gear_wear, missing_tooth, tooth_break |
| **Shafts** | MAFAULDA, VBL-VA001 | imbalance, misalignment_horizontal, misalignment_vertical |
| **Drivetrains** | SEU | Combined motor+gearbox+bearing from single rig |
| **Industrial** | SCA Pulp Mill | Naturally occurring faults in real machinery |
## Sensor Modalities
| Modality | Sources | Channels |
|----------|---------|----------|
| **Vibration** (accelerometer) | All 16 | 1-8 channels per sample |
| **Motor current** | Paderborn, Mendeley (partial) | 2-3 phase current |
| **Acoustic** (microphone) | MAFAULDA, Ottawa | 1 channel |
| **Tachometer** | MAFAULDA, PHM2009, OEDI | 1 channel |
| **Temperature** | FEMTO | Scalar in slow_signals |
| **Torque** | SEU, MCC5-THU | 1 channel |
## Key Features
- **412 transition samples** for action-conditioning (Mendeley speed ramps + MCC5-THU speed/load transitions)
- **Episode/RUL fields** for prognostics (FEMTO, XJTU-SY, IMS, SCA)
- **Real industrial data** from SCA pulp mill (not lab)
- **Shaft faults** (imbalance, misalignment) from MAFAULDA and VBL-VA001
- **Acoustic data** from MAFAULDA and Ottawa (microphone alongside accelerometer)
- **Cross-component** drivetrain data from SEU (motor+gearbox+bearing on single rig)
## Per-Sample Schema
```python
{
"source_id": "cwru", # FK to source_metadata
"sample_id": "cwru_105",
"signal": [[0.1, 0.2, ...]], # (n_channels, signal_length)
"n_channels": 2,
"channel_names": ["DE_accel", "FE_accel"],
"channel_modalities": ["vibration", "vibration"],
"health_state": "faulty", # healthy | faulty | degrading
"fault_type": "inner_race",
"fault_severity": None,
"rpm": 1750,
"load": 2.0,
"load_unit": "hp",
"episode_id": None, # For run-to-failure
"episode_position": None, # 0.0 to 1.0
"rul_percent": None, # Remaining useful life
"is_transition": False, # Speed/load change
"transition_type": None, # ramp_speed | ramp_load
}
```
## v2 Training-Ready Config (Planned)
A standardized config for direct model training:
- Fixed sampling rate: 12,800 Hz
- Fixed window: 16,384 samples (1.28 seconds)
- Vibration-only (single modality)
- Per-sample instance normalization
- Source-disjoint train/val/test splits
## v2 Training-Ready Config (LIVE)
Standardized for direct model training. All sources resampled to common format.
```python
# Load training-ready data (all splits in one, filter by 'split' column)
v2 = load_dataset("Forgis/Mechanical-Components", "v2_train", split="train")
v2_train = v2.filter(lambda x: x["split"] == "train") # 20,143 samples
v2_val = v2.filter(lambda x: x["split"] == "val") # 1,332 samples
v2_test = v2.filter(lambda x: x["split"] == "test") # 6,363 samples
```
| Parameter | Value |
|-----------|-------|
| Sampling rate | 12,800 Hz |
| Window length | 16,384 samples (1.28 seconds) |
| Channels | 1 (primary vibration) |
| Normalization | Per-sample instance norm |
| Splits | Source-disjoint (train/val/test) |
**Train** (12 sources): CWRU, MFPT, FEMTO, XJTU-SY, IMS, OEDI, PHM2009, MCC5-THU, SEU, MAFAULDA, VBL, SCA-train
**Val** (2 sources): Paderborn, Ottawa
**Test** (2 sources): Mendeley, SCA-test
## Citations
Please cite the original datasets. See source_metadata config for full citations per source.
|