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
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