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An Evolving Fuzzy Classifier for Induction Motor Health Condition Monitoring
Department of Electrical and Computer Engineering, Lakehead University, Thunder Bay, Canada
Department of Mechanical Engineering, Lakehead University, Thunder Bay, Canada
- 1 Department of Electrical and Computer Engineering, Lakehead University, Thunder Bay, Canada
- 2 Department of Mechanical Engineering, Lakehead University, Thunder Bay, Canada
Intelligent Control and Automation·Volume 10 (2019)·Pages 129–141·Published 16 October 2019·DOI10.4236/ica.2019.104009
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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.
KeywordsEvolving Fuzzy ClassifierClusteringAutomatic Fault DiagnosticsInduction Motors
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