基于多物理效应的异步电动机早期故障智能预测  

The Early Fault Intelligent Prediction of Induce Motor Based on Multi-physical Effects

作　　者：雷俭[1] 田慕琴[2] 陈惠英[2] 

机构地区：[1]山西省人民医院,山西太原030012 [2]太原理工大学电气与动力工程学院,山西太原030024

出　　处：《太原理工大学学报》2008年第5期505-507,共3页Journal of Taiyuan University of Technology

基　　金：山西省科技攻关基金资助项目(2006031153-01);山西省自然科学基金资助项目(2007011068)

摘　　要：通过寻找反映异步电动机早期故障状态的参数和信号,分析了这些参数和信号的变化特点和特征量,提出了基于多物理效应的异步电动机早期故障智能预测与诊断方法,并利用多物理信息融合方法,借助神经网络等智能工具强大的并行处理和非线性映射能力,解决了异步电动机早期故障不易检测和多故障不易分离的问题,实现了异步电动机早期故障的智能监测与预报。The method of fault intelligent prediction and diagnosis of induce motor in early stage has been put forward based on multi-physical effects in this thesis, by searching the parameters and signals that indicate the state of induce motor and analyzing their changing characters. Owing to the use of method of multi-physical information fusion, it is easy to detect early faults and separate a fault from others with the aid of powerful parallel processing and the non-linear reflective ability of intelligent measures as nerve network. So this realized earlier period faults intelligent diagnosis and prediction for induce motor.

关 键 词：异步电动机 多故障诊断 信息融合 

分 类 号：TP206.3[自动化与计算机技术—检测技术与自动化装置]