Switch fault diagnosis of PM brushless dc motor drive using adaptive fuzzy techniques

IEEE Transactions on Energy Conversion

Volumn 19, Issue 1, 2004, Pages 226-227

  Awadallah, M A ^a   Morcos, M M ^a  

^a KANSAS STATE UNIVERSITY   (United States)

Author keywords

Adaptive neuro fuzzy; Machine fault diagnosis

Indexed keywords

ADAPTIVE SYSTEMS; COMPUTER SIMULATION; ELECTRIC COMMUTATION; ELECTRIC SWITCHES; FAILURE ANALYSIS; FUZZY SETS; LEARNING SYSTEMS; NEURAL NETWORKS; WAVELET TRANSFORMS;

ADAPTIVE NEURO FUZZY INFERENCE SYSTEM; MACHINE FAULT DIAGNOSIS; PM BRUSHLESS DIRECT CURRENT MOTOR DRIVE; SWITCH FAULT DIAGNOSIS;

DC MOTORS;

EID: 1542375752     PISSN: 08858969     EISSN: None     Source Type: Journal    
DOI: 10.1109/TEC.2004.824213     Document Type: Letter

References (4)

1. S. Altug, M. Y. Chow, and H. J. Trussel, "Fuzzy inference systems implemented on neural architectures for motor fault detection and diagnosis," IEEE Trans. Ind. Electron., vol. 46, pp. 1069-1079, Dec. 1999.
2. B. Yazici and G. B. Kliman, "An adaptive statistical time-frequency method for detection of broken bars and bearing faults in motors using stator current," IEEE Trans. Ind. Applicat., vol. 35, pp. 442-452, Mar./Apr. 1999.
3. R. R. Schoen, T. G. Habetler, F. Karman, and R. G. Bartheld, "Motor bearing damage detection using stator current monitoring," IEEE Trans. Ind. Applicat., vol. 31, pp. 1274-1279, Nov./Dec. 1995.
4. N. A. Demerdash and T. W. Nehl, "Dynamic modeling of brushless DC motors for aerospace actuation," IEEE Trans. Aerosp. Electron. Syst., vol. 16, pp. 811-821, Nov. 1980.