Detection of broken rotor bars in induction motors using nonlinear Kalman filters

ISA Transactions

Volumn 49, Issue 2, 2010, Pages 189-195

  Karami, Farzaneh ^a   Poshtan, Javad ^a   Poshtan, Majid ^b  

^a IRAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Iran)

^b KHALIFA UNIVERSITY   (United Arab Emirates)

Author keywords

Induction motors; Model based fault detection; Nonlinear Kalman filters

Indexed keywords

BANDPASS FILTERS; COVARIANCE MATRIX; EXTENDED KALMAN FILTERS; FAULT DETECTION; NONLINEAR ANALYSIS; PARAMETER ESTIMATION; SQUIRREL CAGE MOTORS;

COVARIANCE MATRICES; ESTIMATED PARAMETER; ESTIMATION PERFORMANCE; MODEL-BASED FAULT DETECTION; NONLINEAR KALMAN FILTER; ROTOR FAULT DETECTION; SQUIRREL CAGE INDUCTION MOTOR; UNSCENTED KALMAN FILTER;

INDUCTION MOTORS;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; EQUIPMENT; EQUIPMENT DESIGN; NONLINEAR SYSTEM; STATISTICAL MODEL;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; EQUIPMENT DESIGN; EQUIPMENT FAILURE; MODELS, STATISTICAL; NONLINEAR DYNAMICS;

EID: 77949261515     PISSN: 00190578     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.isatra.2009.11.005     Document Type: Article

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