Switch fault diagnosis of PM brushless DC motor drive using adaptive fuzzy techniques

Switch fault diagnosis of PM brushless DC motor drive using adaptive fuzzy techniques

An adaptive neuro-fuzzy inference system (ANFIS) is developed to diagnose open switch faults of PM brushless dc motor drives. Features extracted under healthy and faulty operations using wavelet transform are used to train ANFIS. Testing of the proposed diagnostic system shows it could not only diag...

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Veröffentlicht in:IEEE transactions on energy conversion 2004-03, Vol.19 (1), p.226-227
Hauptverfasser: Awadallah, M.A., Morcos, M.M.
Format: Artikel
Sprache:eng
Schlagworte:
Bridges
Brushless DC motors
Brushless motors
Commutation
DC motors
Direct current
Electric motors
Fault diagnosis
Faults
Feature extraction
Fuzzy
Fuzzy systems
Switches
System testing
Trains
Wavelet transforms
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Beschreibung
Zusammenfassung:An adaptive neuro-fuzzy inference system (ANFIS) is developed to diagnose open switch faults of PM brushless dc motor drives. Features extracted under healthy and faulty operations using wavelet transform are used to train ANFIS. Testing of the proposed diagnostic system shows it could not only diagnose the fault but identify the faulty switch as well. Good agreement between experimentation and simulation is obtained.
ISSN:0885-8969
1558-0059
DOI:10.1109/TEC.2004.824213