信息融合在异步电动机故障诊断中的应用  

APPLICATION OF INFORMATION FUSION TECHNOLOGY IN FAULT DIAGONOSIS FOR ASYNCHRONOUS MOTOR

作　　者：张莲[1] 余成波[1] 刘述喜[1] 陈鸿雁[1] 

机构地区：[1]重庆工学院电子信息与自动化学院,重庆400050

出　　处：《微计算机信息》2007年第05S期231-233,共3页Control & Automation

基　　金：重庆市教委应用基础基金资助项目(040607)

摘　　要：针对传统异步电动机故障诊断方法中存在的局限性,在对异步电动机故障诊断的特点和要求研究的基础上,提出了一种基于D-S证据理论的信息融合的故障诊断方法。该方法将所采集异步电动机的电压、电流、绕组温度等特征信息构成理论中的证据,利用一定的决策规则,选择融合证据下最大假设,以判断系统状态,识别系统的故障。对该方法构成的诊断系统进行了仿真实验,结果表明其故障诊断快速、有效。Aiming at limitation of the traditional method of fault diagnosis for asynchronous motor, based on the research of the charaeteristies and demands of fault diagnosis for asynchronous motor, this paper puts forward a fault diagnosis method base on D-S evidence theory information fusion. This method uses characteristic information of asynchronous motor such as voltage, current, winding temperature, and so on, to form the evidences in the theory. It adopts some decision-making rule, chooses maximal suppose under fusion evidence, judge the state of system, and recognize the fault of system. This paper makes the simulating experiment of the system based on the method, the results shows that its fault diagnosis is rapid and effective.

关 键 词：故障诊断 信息融合 证据理论 

分 类 号：TP334[自动化与计算机技术—计算机系统结构]