An Evolving Fuzzy Classifier for Induction Motor Health Condition Monitoring

• 作者: Peter Luong Wilson Wang
• 来源期刊: 智能控制与自动化(英文)
• 学科: 工学
• 关键词: EVOLVING Fuzzy CLASSIFIER CLUSTERING Automatic FAULT DIAGNOSTICS INDUCTION Motors
• 年，卷（期）: 2019,（4）
• 页码范围: 129-141
• 页数: 13页
• 分类号: TP1

摘要

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.