DocumentCode :
1611498
Title :
Fuzzy logic system to detect pump faults from motor current spectra
Author :
Perovic, S. ; Unsworth, P.J. ; Higham, E.H.
Author_Institution :
Sch. of Eng. & Inf. Technol., Sussex Univ., Brighton, UK
Volume :
1
fYear :
2001
Firstpage :
274
Abstract :
Faults in pumping systems can be caused through the changes in flow regimes, such as cavitation, that lead to impeller degradation or corruption of pumped material, and ultimately to the deterioration and breakdown of pumps themselves. Results are presented of experiments using spectral analysis of motor current to diagnose and predict specific failures in pumps. Fault signatures were established by relating spectral features to individual faults, and by analysing their behaviour in the presence of faults. Faults investigated were cavitation, blockage and impeller damage. A fuzzy logic system was built as a final decision making module.
Keywords :
electric current measurement; fault diagnosis; fuzzy logic; induction motors; machine testing; pumps; signal processing; blockage; cavitation; fault signatures; final decision making module; fuzzy logic system; impeller damage; induction motor; motor current; motor current spectra; pump fault detection; spectral analysis; Data acquisition; Electrical capacitance tomography; Fault detection; Frequency estimation; Fuzzy logic; Impellers; Information technology; Low pass filters; Pumps; Spectral analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industry Applications Conference, 2001. Thirty-Sixth IAS Annual Meeting. Conference Record of the 2001 IEEE
Conference_Location :
Chicago, IL, USA
ISSN :
0197-2618
Print_ISBN :
0-7803-7114-3
Type :
conf
DOI :
10.1109/IAS.2001.955423
Filename :
955423
Link To Document :
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