TITLE:
An Evolving Fuzzy Classifier for Induction Motor Health Condition Monitoring
AUTHORS:
Peter Luong, Wilson Wang
KEYWORDS:
Evolving Fuzzy Classifier, Clustering, Automatic Fault Diagnostics, Induction Motors
JOURNAL NAME:
Intelligent Control and Automation,
Vol.10 No.4,
October
17,
2019
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.