Three Phase Induction Machines Asymmetrical Faults Identification Using Bispectrum

T. W S Chow; Gou Fei

doi:10.1109/60.475840

Three Phase Induction Machines Asymmetrical Faults Identification Using Bispectrum

T. W S Chow
, Gou Fei

Department of Electrical Engineering

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

70 Citations (Scopus)

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, the 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 can be successfully applied to machine asymmetric faults, machine rotation speed and stator winding fault analysis and identification. © 1995 IEEE

Original language	English
Pages (from-to)	688-693
Journal	IEEE Transactions on Energy Conversion
Volume	10
Issue number	4
DOIs	https://doi.org/10.1109/60.475840
Publication status	Published - Dec 1995

Research Keywords

Asymmetrical fault
Bispectrum
Vibration signal

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title = "Three Phase Induction Machines Asymmetrical Faults Identification Using Bispectrum",

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, the 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 can be successfully applied to machine asymmetric faults, machine rotation speed and stator winding fault analysis and identification. {\textcopyright} 1995 IEEE",

keywords = "Asymmetrical fault, Bispectrum, Vibration signal",

author = "Chow, \{T. W S\} and Gou Fei",

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T1 - Three Phase Induction Machines Asymmetrical Faults Identification Using Bispectrum

AU - Chow, T. W S

AU - Fei, Gou

PY - 1995/12

Y1 - 1995/12

N2 - 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, the 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 can be successfully applied to machine asymmetric faults, machine rotation speed and stator winding fault analysis and identification. © 1995 IEEE

AB - 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, the 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 can be successfully applied to machine asymmetric faults, machine rotation speed and stator winding fault analysis and identification. © 1995 IEEE

KW - Asymmetrical fault

KW - Bispectrum

KW - Vibration signal

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UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-0029480864&origin=recordpage

U2 - 10.1109/60.475840

DO - 10.1109/60.475840

M3 - RGC 21 - Publication in refereed journal

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VL - 10

SP - 688

EP - 693

JO - IEEE Transactions on Energy Conversion

JF - IEEE Transactions on Energy Conversion

IS - 4

ER -

Three Phase Induction Machines Asymmetrical Faults Identification Using Bispectrum

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Research Keywords

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