Fault Diagnosis of Induction Motor Based on a Novel Intelligent Framework and Transient Current Signals
This paper deals with fault diagnosis of induction motor containing common faults by using a novel intelligent framework and transient stator current signals. This framework consists of a Fourier-Bessel (FB) expansion for analyzing the transient signals, a generalized discriminant analysis (GDA) for...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
AIDIC Servizi S.r.l.
2013-07-01
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Series: | Chemical Engineering Transactions |
Online Access: | https://www.cetjournal.it/index.php/cet/article/view/6323 |