DSP-Based sensorless electric motor fault-diagnosis tools for electric and hybrid electric vehicle powertrain applications

IEEE Transactions on Vehicular Technology

Volumn 58, Issue 6, 2009, Pages 2679-2688

  Akin, Bilal ^a,b   Ozturk, Salih Baris ^a,c   Toliyat, Hamid A ^a   Rayner, Mark ^a,d  

^a Texas AandM University   (United States)

^b TEXAS INSTRUMENTS   (United States)

^c UNITED TECHNOLOGIES RESEARCH CENTER   (United States)

^d Toshiba America Inc   (United States)

Author keywords

Digital signal processor (DSP) based fault detection; Hybrid electric vehicle (HEV); Induction motor; Motor fault diagnosis

Indexed keywords

AIR-GAP; CURRENT SPECTRA; DSP-BASED; HYBRID ELECTRIC VEHICLE; HYBRID ELECTRIC VEHICLE (HEV); IDLE MODE; MASTER PROCESSOR; MICROPROCESSING UNITS; MOTOR FAULT; MOTOR FAULT DIAGNOSIS; NONUNIFORM; PASSENGER VEHICLES; ROTOR ASYMMETRY; ROTOR FAULT; SENSORLESS; STATIONARY CURRENTS; TEST CONDITION; TMS320F2812; VEHICLE OPERATIONS; ZERO SPEED;

DIGITAL SIGNAL PROCESSORS; ELECTRIC AUTOMOBILES; ELECTRIC LOCOMOTIVES; ELECTRIC MACHINERY; ELECTRIC MOTORS; ELECTRIC TOOLS; FAILURE ANALYSIS; FAULT DETECTION; INDUCTION MOTORS; QUALITY ASSURANCE; SECONDARY BATTERIES; SIGNAL DETECTION; SIGNAL PROCESSING; SPEED; SPEED CONTROL; VEHICLES;

ELECTRIC FAULT CURRENTS;

EID: 67549110917     PISSN: 00189545     EISSN: None     Source Type: Journal    
DOI: 10.1109/TVT.2009.2012430     Document Type: Article

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