Bearing fault detection in adjustable speed drives via a support vector machine with feature selection using a genetic algorithm

Conference Record - IEEE Instrumentation and Measurement Technology Conference

Volumn , Issue , 2008, Pages 1129-1133

  Teotrakool, Kaptan ^a   Devaney, Michael J ^a   Eren, Levent ^b  

^a UNIVERSITY OF MISSOURI   (United States)

^b BAHCESEHIR UNIVERSITY   (Turkey)

Author keywords

Adjustable speed drive; Genetic algorithm; Motor current signature analysis; Support vector machine; Wavelet packet decomposition

Indexed keywords

ALGORITHMS; BEARINGS (STRUCTURAL); BOOLEAN FUNCTIONS; CLASSIFICATION (OF INFORMATION); COMPUTER NETWORKS; COUNTING CIRCUITS; DIESEL ENGINES; ELECTRIC CURRENTS; ELECTROMAGNETIC PULSE; ELECTROMAGNETIC WAVES; FEATURE EXTRACTION; GEARS; GENETIC ALGORITHMS; IMAGE RETRIEVAL; INDUCTION MOTORS; INSTRUMENTS; LEARNING SYSTEMS; MEASUREMENT THEORY; MODULATION; PULSE WIDTH MODULATION; SPEED; VARIABLE SPEED DRIVES; VECTORS; WAVELET DECOMPOSITION;

ADJUSTABLE SPEED DRIVE; GENETIC ALGORITHM; MOTOR CURRENT SIGNATURE ANALYSIS; SUPPORT VECTOR MACHINE; WAVELET PACKET DECOMPOSITION;

FAULT DETECTION;

EID: 51349084671     PISSN: 10915281     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IMTC.2008.4547208     Document Type: Conference Paper

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