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An Evolving Fuzzy Classifier for Induction Motor Health Condition Monitoring
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作者 peter luong Wilson Wang 《Intelligent Control and Automation》 2019年第4期129-141,共13页
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 IM... 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. 展开更多
关键词 EVOLVING Fuzzy CLASSIFIER Clustering Automatic FAULT DIAGNOSTICS INDUCTION Motors
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