University
Hydraulic System Condition Monitoring (Multi-Sensor)
Abstract
"Multi-sensor data (pressure, temperature, flow) from a hydraulic test rig for fault diagnosis of cooler, valve, pump, and accumulator."
Description
Dataset Overview
This dataset addresses the condition assessment of a hydraulic test rig based on multi-sensor data collected from a test rig at ZeMA (Center for Mechatronics and Automation Technology).
Sensors Used
- Pressure (PS1-PS6): Measuring up to 600 bar.
- Temperature (TS1-TS4): Oil temperature readings.
- Volume Flow (FS1-FS2): Flow rate in L/min.
- Vibration (VS1): Vibration intensity in mm/s.
Target Variables
The main goal is to classify the health condition of four components:
- Cooler: Efficiency % (3: close to failure, 100: full efficiency).
- Valve: Switching behavior (100: optimal, 73: close to failure).
- Pump: Internal leakage (0: no leakage, 2: severe leakage).
- Accumulator: Gas pressure levels.
Data Preview
| Cycle_ID | Pressure_PS1 | Temp_TS1 | Flow_FS1 | Cooler_Status |
|---|---|---|---|---|
| 1 | 150.2 | 35.4 | 8.1 | 100% (Efficient) |
| 2 | 149.8 | 36.1 | 8.0 | 20% (Reduced) |
| 3 | 148.5 | 38.2 | 7.9 | 3% (Failure) |
Showing first few rows for preview
Cite This Dataset
University (2026). Hydraulic System Condition Monitoring (Multi-Sensor). [Dataset]. University. https://archive.ics.uci.edu/ml/datasets/Condition+monitoring+of+hydraulic+systems
Source: University (2026)
Indexed by IoTDataset.com on Jan 12, 2026
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