文献类型：期刊文献

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, J.

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

第一机构：北京联合大学应用科技学院

年份：2011

卷号：66-68

起止页码：577-582

外文期刊名：Applied Mechanics and Materials

收录：EI(收录号：20113214223279)

语种：英文

外文关键词：Decomposition - Factor analysis - Multivariant analysis

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. ? (2011) Trans Tech Publications, Switzerland.