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Application of Learning Theory to an Artificial Neural Network that Detects Incipient Faults in Single-Phase Induction Motors.
Mo-Yuen Chow
Griff L. Bilbro
Sui Oi Yee
Published in:
Int. J. Neural Syst. (1991)
Keyphrases
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learning theory
induction motor
single phase
fault detection and diagnosis
fault detection
fault identification
computational learning theory
theoretical computer science
real time
artificial intelligence
closed loop
neural network
genetic algorithm
support vector
fault diagnosis