Three Phase Induction Machines Asymmetrical Faults Identification Using Bispectrum

IEEE Transactions on Energy Conversion

Volumn 10, Issue 4, 1995, Pages 688-693

  Chow, T W S ^a   Fei, Gou ^a  

^a CITY UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Asymmetrical fault; Bispectrum; Vibration signal

Indexed keywords

CORRELATION METHODS; ELECTRIC DRIVES; ESTIMATION; FAILURE ANALYSIS; FOURIER TRANSFORMS; MACHINE VIBRATIONS; SPECTRUM ANALYSIS; SPEED; STATORS;

BISPECTRUM; CONDITION MONITORING; DEGREE OF UNBALANCE; MACHINE ASYMMETRIC FAULTS; MACHINE FAULTS IDENTIFICATION; ROTATING SPEED; STATOR WINDING FAULTS; THREE PHASE INDUCTION MACHINES;

ASYNCHRONOUS MACHINERY;

EID: 0029480864     PISSN: 08858969     EISSN: 15580059     Source Type: Journal    
DOI: 10.1109/60.475840     Document Type: Article

References (4)

1. P. Kunder, “Power System distribution monitoring: Utility experience,'’ IEEE Trans. on Power System, Vol. PWRS-3, No. 1, pp. 134-148, Feb. 1988.
2. Dejan R. Ostojic, “Spectral Monitoring of Power System Dynamic Performance”, IEEE Trans. on Power System, Vol. 8, 445-451, Feb. 1993
3. S. L. Marple Jr. Digital Spectral Analysis with applications, Prentice-Hall, Inc. Englewood Cliffs, 1987.
4. J. M. Mendel, “Use of Higher-order Statistics in Digital Processing and System Theory: An Update,” in Proc. SPIE Conf. On Advanced Algorithms and Architectures for Signal Processing III, San Diego, CA, 1988, pp. 126-144.