The data set addresses the condition assessment of a hydraulic test rig based on multi sensor data.

Abstract:

The data set addresses the condition assessment of a hydraulic test rig based on multi sensor data. Four fault types are superimposed with several severity grades impeding selective quantification.

Data Set Characteristics:  

Multivariate, Time-Series

Number of Instances:

2205

Area:

Computer

Attribute Characteristics:

Real

Number of Attributes:

43680

Date Donated

2018-04-26

Associated Tasks:

Classification, Regression

Missing Values?

N/A

Number of Web Hits:

1897

Source:

Creator: ZeMA gGmbH, Eschberger Weg 46, 66121 Saarbrücken 
Contact: t.schneider '@' zema.des.klein '@' zema.dem.bastuck '@' lmt.uni-saarland.deinfo '@' lmt.uni-saarland.de

Data Set Information:

The data set was experimentally obtained with a hydraulic test rig. This test rig consists of a primary working and a secondary cooling-filtration circuit which are connected via the oil tank [1], [2]. The system cyclically repeats constant load cycles (duration 60 seconds) and measures process values such as pressures, volume flows and temperatures while the condition of four hydraulic components (cooler, valve, pump and accumulator) is quantitatively varied.

Attribute Information:

The data set was experimentally obtained with a hydraulic test rig. This test rig consists of a primary working and a secondary cooling-filtration circuit which are connected via the oil tank [1], [2]. The system cyclically repeats constant load cycles (duration 60 seconds) and measures process values such as pressures, volume flows and temperatures while the condition of four hydraulic components (cooler, valve, pump and accumulator) is quantitatively varied. 

Attribute Information: 
The data set contains raw process sensor data (i.e. without feature extraction) which are structured as matrices (tab-delimited) with the rows representing the cycles and the columns the data points within a cycle. The sensors involved are: 
Sensor Physical quantity Unit Sampling rate 
PS1 Pressure bar 100 Hz 
PS2 Pressure bar 100 Hz 
PS3 Pressure bar 100 Hz 
PS4 Pressure bar 100 Hz 
PS5 Pressure bar 100 Hz 
PS6 Pressure bar 100 Hz 
EPS1 Motor power W 100 Hz 
FS1 Volume flow l/min 10 Hz 
FS2 Volume flow l/min 10 Hz 
TS1 Temperature °C 1 Hz 
TS2 Temperature °C 1 Hz 
TS3 Temperature °C 1 Hz 
TS4 Temperature °C 1 Hz 
VS1 Vibration mm/s 1 Hz 
CE Cooling efficiency (virtual) % 1 Hz 
CP Cooling power (virtual) kW 1 Hz 
SE Efficiency factor % 1 Hz 

The target condition values are cycle-wise annotated in ‘profile.txt‘ (tab-delimited). As before, the row number represents the cycle number. The columns are 

1: Cooler condition / %: 
3: close to total failure 
20: reduced effifiency 
100: full efficiency 

2: Valve condition / %: 
100: optimal switching behavior 
90: small lag 
80: severe lag 
73: close to total failure 

3: Internal pump leakage: 
0: no leakage 
1: weak leakage 
2: severe leakage 

4: Hydraulic accumulator / bar: 
130: optimal pressure 
115: slightly reduced pressure 
100: severely reduced pressure 
90: close to total failure 

5: stable flag: 
0: conditions were stable 
1: static conditions might not have been reached yet

for more information visit the source : https://archive.ics.uci.edu/ml/datasets/Condition+monitoring+of+hydraulic+systems#