DocumentCode :
1747628
Title :
Application of rough set theory to fault diagnosis of check valves in reciprocating pumps
Author :
Wengang, Shi ; Rixin, Wang ; Wenhu, Huang
Author_Institution :
Dept. of Astronaut. & Mech., Harbin Inst. of Technol., China
Volume :
2
fYear :
2001
fDate :
2001
Firstpage :
1247
Abstract :
This paper investigates the application of rough set theory (RST) to fault diagnosis of check valves in three cylinder reciprocating pumps. Currently the faults are detected by the operator through readings of flowmeters and piezometers on the output pipeline. However the condition of each valve can not be detected in this way. Therefore a method of vibration measurements is used. A simulation pump is used to generate measurement data for several kinds of faults. To obtain the fault characteristics of the valves, the wavelet packet transform (WPT) is introduced as a preprocessing means of extracting time-frequency information from vibration signals. Furthermore, in order to determine the position of the faulty valve, RST is used in the process of fault diagnosis. It is proved that severe leakage and fault positions can be identified and diagnosed by the above method
Keywords :
acoustic signal processing; fault diagnosis; oil technology; pumps; rough set theory; time-frequency analysis; vibration measurement; wavelet transforms; check valves; cylinder reciprocating pumps; fault characteristics; fault diagnosis; fault positions; flowmeters; measurement data; oilfield; output pipeline; piezometers; rough set theory; signal preprocessing; signal processing; simulation pump; time-frequency information extraction; vibration measurements; vibration signals; wavelet packet transform; Data mining; Fault detection; Fault diagnosis; Pipelines; Set theory; Time frequency analysis; Valves; Vibration measurement; Wavelet packets; Wavelet transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical and Computer Engineering, 2001. Canadian Conference on
Conference_Location :
Toronto, Ont.
ISSN :
0840-7789
Print_ISBN :
0-7803-6715-4
Type :
conf
DOI :
10.1109/CCECE.2001.933620
Filename :
933620
Link To Document :
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