Static-, dynamic-, and mixed-eccentricity fault diagnoses in permanent-magnet synchronous motors

IEEE Transactions on Industrial Electronics

Volumn 56, Issue 11, 2009, Pages 4727-4739

  Ebrahimi, Bashir Mahdi ^a   Faiz, Jawad ^a   Roshtkhari, Mehrsan Javan ^a  

^a UNIVERSITY OF TEHRAN   (Iran)

Author keywords

Amplitude of sideband components (ASBC); Artificial neural network (ANN); Dynamic eccentricity (DE) and mixed eccentricity (ME); Fault diagnosis; Gaussian noise; Pattern recognition; Permanent magnet (PM) synchronous motor (PMSM); Static; Time stepping finite element (FE) method (FEM) (TSFEM)

Indexed keywords

AMPLITUDE OF SIDEBAND COMPONENTS (ASBC); ARTIFICIAL NEURAL NETWORK (ANN); FAULT DIAGNOSIS; GAUSSIAN NOISE; PERMANENT-MAGNET (PM) SYNCHRONOUS MOTOR (PMSM); STATIC; TIME-STEPPING FINITE-ELEMENT (FE) METHOD (FEM) (TSFEM);

AC MOTORS; BACKPROPAGATION; COMPOSITE MICROMECHANICS; DEMAGNETIZATION; ELECTRIC NETWORK ANALYSIS; FAILURE ANALYSIS; FINITE ELEMENT METHOD; GAUSSIAN NOISE (ELECTRONIC); LARGE SCALE SYSTEMS; MAGNETIC FIELDS; MOTORS; NEURAL NETWORKS; PATTERN RECOGNITION; PERMANENT MAGNETS; QUALITY ASSURANCE; SHAFTS (MACHINE COMPONENTS); SPONTANEOUS EMISSION; SPOT WELDING;

SYNCHRONOUS MOTORS;

EID: 70350414474     PISSN: 02780046     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIE.2009.2029577     Document Type: Article

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