Diagnostics of bar and end-ring connector breakage faults in polyphase induction motors through a novel dual track of time-series data mining and time-stepping coupled FE-state space modeling

IEEE Transactions on Energy Conversion

Volumn 17, Issue 1, 2002, Pages 39-46

  Povinelli, Richard J ^a,b   Bangura, John F ^a,c   Demerdash, Nabeel A O ^a,b   Brown, Ronald H ^a,b  

^a IEEE   (United States)

^b Opus College of Engineering   (United States)

^c Black and Decker Corporation   (United States)

Author keywords

Artificial intelligence; Data mining; Diagnostics through torque profiles; Dynamical systems analysis; Electric drives; Fault diagnosis; Induction motors; State space methods; Time series; Time stepping finite elements

Indexed keywords

ADJUSTABLE VARIABLE SPEED DRIVES; DUAL TRACK PROOF OF PRINCIPLE; END RING CONNECTOR BREAKAGE FAULTS; FAULT DIAGNOSIS; SLIP SPEED; TIME DOMAIN TORQUE PROFILE; TIME SERIES DATA MINING; TIME STEPPING FINITE ELEMENT;

ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; DATA MINING; ELECTRIC DRIVES; FAILURE ANALYSIS; FINITE ELEMENT METHOD; MATHEMATICAL MODELS; SPEED CONTROL; STATE SPACE METHODS; SYSTEMS ANALYSIS; TIME SERIES ANALYSIS; TORQUE;

SQUIRREL CAGE MOTORS;

EID: 0036494352     PISSN: 08858969     EISSN: None     Source Type: Journal    
DOI: 10.1109/60.986435     Document Type: Article

References (16)

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