文献类型：会议论文

英文题名：Motor Fault on-line Diagnosis Based on Innovation Energy Detection

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 Mechanical Materials and Manufacturing Engineering (ICMMME 2011)

会议日期：JUN 20-22, 2011

会议地点：Nanchang, PEOPLES R CHINA

语种：英文

外文关键词：Motor Fault Detection; Fault Factor Identification; Innovation Series; Dynamic System Model

摘要：For the motor current noise signal, vibration signal, the phase current signal, a motor dynamic system model is established. A motor energy detection equation is introduced and constituted by an innovation series of these signal tested in the dynamic system, then the main factor analysis of the motor abnormal elements is presented by orthogonal decomposition, and the main factor distribution chart is described by decomposing the main failure elements to tow-dimensional observation vector. The motor fault can be detected on-line by using the main factor analysis, and then the failure factors can be identified with fault Mode.