文献类型：会议论文

中文题名：Research of Motor Fault Diagnosis by Detecting Dynamic Model Parameters

作者：Jianxiong Long[1];

第一作者：龙建雄

机构：[1]College of Applied Science & Technology, Beijing Union University, Beijing 102200, China;

第一机构：北京联合大学应用科技学院

会议论文集：the 2010 International Conference on Frontiers of Manufacturing and Design Science(第一届制造与设计科学国际会议(ICFMD 2010))论文集

会议日期：20101211

会议地点：重庆

主办单位：香港控制工程与信息科学协会

语种：英文

中文关键词：Motor Dynamic Model;System Model Identification;Motor Model Detection Equation;Motor Fault Diagnosis

摘要：A diagnosis ellipsoid equation is put forward in order to solve motor fault on-line diagnosis.It is first to estimate the motor dynamic model parameters by the on-line least squares estimation,then to detect the parameters changes in the system model,and last to identify t the parts of the system failure occurred and factors.Through a practical example of the application to diagnose a motor fault,the motor fault can be detected according to the parameter changes of the motor model,and the failure factors can be diagnosed by using the diagnosis equation.It is proved feasible and effective.