文章基本信息

标题：A new diagnosis of severity broken rotor bar fault based modeling and image processing system
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作者：Hassan Divdel ; Mohammad Hosseinzadeh Moghaddam ; Ghafour Alipour 等
期刊名称：Journal of Current Research in Science
印刷版ISSN：2322-5009
出版年度：2016
卷号：4
期号：Special 1
页码：771-780
出版社：Islamic press
摘要：This paper proposes a new diagnosis of severity broken rotor bar fault based modeling and image processing system approach. It is shown the rise of broken bars and load level increases harmonics of the stator currents in the fault condition. Therefore, fully automatic pattern recognition methods are required to identify induction motor severity broken rotor bar fault .this paper proposes a dynamic model to analyze broken rotor bar fault in induction machines. In order to evaluate the ability of the proposed method several experiments are performed and a sets of data are gathered before and after fault under noise condition. Simulations and experimental results were performed to confirm the validity of the model
关键词：fault based modeling; image processing; broken rotor bar; induction motor.