Title :
Three phase induction machines asymmetrical faults identification using bispectrum
Author :
Chow, T.W.S. ; Fei, Gou
Author_Institution :
Dept. of Electron. Eng., City Univ. of Hong Kong, Kowloon, Hong Kong
fDate :
12/1/1995 12:00:00 AM
Abstract :
Bispectrum analysis is introduced for three-phase induction machine faults identification and condition monitoring. Bispectrum analysis is capable of providing more information than power spectrum analysis. In the present investigation, machine vibration signals operating at different rotating speed and degree of unbalance are thoroughly analyzed. Very promising results were obtained and presented. The results and analysis indicate that bispectrum analysis can be successfully applied to machine asymmetric faults, machine rotation speed and stator winding fault analysis and identification
Keywords :
asynchronous machines; electrical faults; fault diagnosis; machine testing; machine theory; monitoring; stators; vibration measurement; asymmetrical faults identification; bispectrum analysis; condition monitoring; rotation speed; stator winding fault analysis; three-phase induction machine; unbalance; vibration signals; Condition monitoring; Electrical fault detection; Fault diagnosis; Fourier transforms; Harmonic analysis; Induction machines; Information analysis; Signal analysis; Stator cores; Voltage;
Journal_Title :
Energy Conversion, IEEE Transactions on