文献类型：会议论文

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

作者：Long, Jianxiong[1]

第一作者：龙建雄

通讯作者：Long, JX[1]

机构：[1]Beijing Union Univ, Coll Appl Sci & Technol, Beijing 102200, Peoples R China

第一机构：北京联合大学应用科技学院

通讯机构：[1]corresponding author), Beijing Union Univ, Coll Appl Sci & Technol, Beijing 102200, Peoples R China.|[1141775]北京联合大学应用科技学院;[11417]北京联合大学;

会议论文集：International Conference on Frontiers of Manufacturing and Design Science (ICFMD2010)

会议日期：DEC 11-12, 2010

会议地点：Chongqing, PEOPLES R CHINA

语种：英文

外文关键词：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.