Online detection of broken rotor bars in induction motors by wavelet packet decomposition and artificial neural networks

IEEE Transactions on Instrumentation and Measurement

Volumn 58, Issue 7, 2009, Pages 2253-2263

  Sadeghian, Alireza ^a   Ye, Zhongming ^b   Wu, Bin ^a  

^a RYERSON UNIVERSITY   (Canada)

^b INTERSIL CORPORATION   (United States)

Author keywords

Fault diagnosis; Feature extraction; Induction motors; Neural networks; Wavelet packet decomposition (WPD)

Indexed keywords

ARTIFICIAL NEURAL NETWORK; BROKEN ROTOR BAR; DIFFERENT FREQUENCY; DYNAMIC TIME; FAULT DIAGNOSIS; FAULTY CONDITION; FEATURE REPRESENTATION; INDUCTION MOTOR STATOR; MULTIPLE FREQUENCY; ON-LINE DETECTION; ROTOR BARS; RUNTIME; SLIP SPEED; WAVELET PACKET DECOMPOSITION; WAVELET PACKET DECOMPOSITION (WPD); WAVELET PACKET DECOMPOSITIONS;

ELECTRIC FAULT CURRENTS; FEATURE EXTRACTION; MOTORS; NEURAL NETWORKS; WAVELET ANALYSIS; WAVELET DECOMPOSITION;

INDUCTION MOTORS;

EID: 67649604414     PISSN: 00189456     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIM.2009.2013743     Document Type: Conference Paper

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