Support vector machine classifier for diagnosis in electrical machines: Application to broken bar

Expert Systems with Applications

Volumn 39, Issue 10, 2012, Pages 8681-8689

  Matić, Dragan ^a   Kulić, Filip ^a   Pineda Sánchez, Manuel ^b   Kamenko, Ilija ^a  

^a UNIVERSITY OF NOVI SAD   (Serbia)

^b UNIVERSITAT POLITÈCNICA DE VALÈNCIA   (Spain)

Author keywords

Broken bar; Fault detection; Induction motor; Support vector machines

Indexed keywords

BROKEN BAR; BROKEN BAR DETECTION; CHANGING OPERATING CONDITIONS; CHARACTERISTIC PEAKS; CLASSIFICATION TASKS; COMPARATIVE ANALYSIS; ELECTRICAL INDUCTION; ELECTRICAL MACHINE; ERROR RATE; GAUSSIANS; GENERALIZATION PERFORMANCE; HIGH ROBUSTNESS; HILBERT TRANSFORM; INDUSTRIAL DRIVES; LOAD CHANGE; LOAD VARIATIONS; MOTOR CURRENT SIGNATURE ANALYSIS; ON-LINE APPLICATIONS; ONLINE METHODS; PHASE CURRENTS; QUADRATIC KERNELS; STEADY-STATE CURRENTS; SUPPORT VECTOR; SUPPORT VECTOR MACHINE (SVM); TWO-DIMENSIONAL FEATURES;

ELECTRIC MACHINERY; FAULT DETECTION; INDUCTION MOTORS;

SUPPORT VECTOR MACHINES;

EID: 84859211630     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2012.01.214     Document Type: Article

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