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An Evolving Fuzzy Classifier for Induction Motor Health Condition Monitoring

DOI: 10.4236/ica.2019.104009, PP. 129-141

Keywords: Evolving Fuzzy Classifier, Clustering, Automatic Fault Diagnostics, Induction Motors

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Abstract:

Induction motor (IM) is commonly used in various industrial applications. Reliable online IM health condition monitoring systems are critically needed in industries to improve operational accuracy and safety of the IMs and the machinery. A new evolving algorithm is proposed to provide more decision-making transparency, as well as better classification and processing efficiency. The effectiveness of the developed intelligent classifier is examined by simulation and experimental tests.

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