基于BP神经网络的三相异步电动机故障诊断技术研究  

Research of Techniques in Fault Diagnosis of Three-phase Asynchronous Motors Based on BP Neural Network

作　　者：刘玉宾[1] 范文军[1] 

机构地区：[1]黄河水利职业技术学院,河南开封475004

出　　处：《煤矿机械》2007年第2期188-190,共3页Coal Mine Machinery

摘　　要：针对三相异步电动机的过载、堵转、断相、电压不平衡、接地、过压和欠压等外部故障,提出了一种基于BP神经网络的故障诊断方法,测试结果表明了该方法的有效性和正确性。Aim at the faults of three- phase asynchronous motors such as overload, locked rotor, broken phasing, unbalanced supply voltage, ground fault, over- voltage and under- voltage etc. , brings out one method of fault diagnosis based on BP neural network, and the test results point out its validity and correctness.

关 键 词：三相异步电动机 故障诊断 神经网络 BP算法 

分 类 号：TM343.2[电气工程—电机] TP306[自动化与计算机技术—计算机系统结构]