基于BP神经网络模型的电机故障诊断专家系统

BP Neural Network Model Based Expert System of Fault Diagnostic of Electrical Machinery

针对传统机械设备故障诊断专家系统存在知识获取能力弱、求解有一定局限性等问题 ,介绍了BP神经网络旋转机械故障诊断专家系统 ,对单位BP算法 ,BP神经网络的建立、训练及应用作了具体说明。该系统学习效率高 ,故障诊断准确 ,已成功应用于铁路机车走行部的轮对电机在线故障诊断。

To against the weakness of capability of knowledge acquisition and limitation of obtaining solution in traditional fault diagnostic expert system for machinery equipment,the BP neural network based expert system of fault diagnostic for rotating machinery is introduced.The unit BP algorithm,BP neural network establishment,training and application of the system are described concretely.The system features high efficiency learning and proper fault diagnosis and has been used successfully in fault diagnostic of electrical machinery of railway locomotives.