基于专家系统与神经网络集成的故障诊断的应用研究

APPLICATION RESEARCH ON INTEGRATION OF EXPERT SYSTEM AND NEURAL NETWORK FOR FAULT DIAGNOSIS

本文针对工业生产中使用的直流电动机 ,应用人工智能的相关理论对其故障进行了广泛深入地研究。在此基础上 ,探讨了专家系统与人工神经网络相集成的电动机故障智能诊断方法并加以实现。实践证明 ,网络的学习时间显著缩短 ,整个系统的推理效率明显提高 ,并验证了集成式专家系统的诊断效果比传统的专家系统或神经网络更为全面、准确和迅速。电动机故障的集成式智能诊断方法是一个既有理论研究意义又有实际使用价值的课题与方向。

In the paper,the theory of artificial intelligence is applicated on the fault diagnosis of industrial synchronous motor.On this basis,motor fault intelligent diagnosis method with integration of expert system and neural network is discussed and realized.It is proved by practice that the learning time of network is shortened apparently,the inference efficiency of whole system is improved,and the diagnosis effect of integrated expert system is more comprehensive,correcter and quicker than that of traditional expert system or neural network.The integrated intelligent diagnosis method for motor faults has both theoretical research meaning and practical application value