Predictive Maintenance: Hydraulic Systems
Catalog Summary
"Condition monitoring of hydraulic systems using multi-sensor fusion (Pressure, Temperature, Vibration) to detect internal failures."
Catalog Notes
System Description
The data set was experimentally obtained with a hydraulic test rig. This dataset is perfect for testing 'Sensor Fusion' algorithms in IIoT.
Sensors:
- PS1 - PS6: Pressure sensors (bar).
- FS1 - FS2: Volume flow sensors (l/min).
- TS1 - TS4: Temperature sensors (°C).
- VS1: Vibration sensor (mm/s).
- Target: Cooler condition / Valve condition.
Data Preview
| PS1 | PS2 | PS3 | TS1 | TS2 | FS1 | Efficiency_Flag |
|---|---|---|---|---|---|---|
| 151.47 | 125.50 | 2.30 | 35.62 | 40.93 | 8.99 | 0 |
| 151.11 | 125.33 | 2.28 | 36.21 | 41.56 | 8.95 | 0 |
| 150.81 | 125.12 | 2.25 | 37.05 | 42.11 | 8.80 | 0 |
| 150.50 | 124.90 | 2.21 | 37.88 | 42.80 | 8.65 | 1 |
| 150.10 | 124.50 | 2.19 | 38.44 | 43.15 | 8.50 | 1 |
Showing first few rows for preview
Cite This Catalog Record
IoTDataset.com (2026). Predictive Maintenance: Hydraulic Systems — catalog record. [Dataset]. IoTDataset.com. https://iotdataset.com/data/predictive-maintenance-hydraulic
The publisher's preferred dataset citation is not recorded. The text above cites this IoTDataset.com catalog record, not the underlying dataset.
Catalog publisher: IoTDataset.com (2026)
Indexed by IoTDataset.com on Jan 09, 2026
Review the Source Record
Confirm the licence, version, access conditions, file format, and provenance at the source before use.