基于神经网络的异步电动机故障诊断专家系统的研究  

Research of Expert System of Fault Diagnosis for Asynchronous Motor Based on Neural Network

作　　者：海振宏[1] 田慕琴[1] 

机构地区：[1]太原理工大学电气与动力工程学院,山西太原030024

出　　处：《工矿自动化》2010年第4期41-44,共4页Journal Of Mine Automation

基　　金："十一五"国家科技支撑计划项目(2007BAK29B05);山西省科技攻关项目(2006031153-01);山西省自然科学基金项目(2007011068)

摘　　要：针对传统的专家系统在对异步电动机进行故障诊断时知识获取困难且无法解决新故障的问题,提出了一种基于神经网络的异步电动机故障诊断专家系统的设计方案,给出了系统结构及神经网络模型设计。仿真结果表明,该系统能够很好地结合专家系统与神经网络的优势,达到了异步电动机故障诊断的预期目标。In order to solve the problem that traditional expert system got knowledge hardly and connot solve new faults when diagnosing faults of asynchronous motor,the paper proposed a design scheme of expert system of fault diagnosis for asynchronous motor based on neural network and gave the system＇s structure and design of model of the neural network.The simulation result showed the system can combine advantages of expert system and neural network well and realizes expected target of fault diagnosis for asynchronous motor.

关 键 词：异步电动机 故障诊断 专家系统 神经网络 HOPFIELD 

分 类 号：TD614[矿业工程—矿山机电]