CAJ | 학술논문

针对传统专家系统不能进行自学习、自适应的问题，本文提出了基于神经网络专家系统的异步电机故障诊断方法。本文将小波神经网络和专家系统相结合，充分发挥了二者故障诊断的优点，很大程度上降低了对电机的诊断误差。仿真结果验证了该算法的有效性。
침대전통전가계통불능진행자학습、자괄응적문제，본문제출료기우신경망락전가계통적이보전궤고장진단방법。본문장소파신경망락화전가계통상결합，충분발휘료이자고장진단적우점，흔대정도상강저료대전궤적진단오차。방진결과험증료해산법적유효성。
A method of asynchronous motor fault diagnosis was established based on neural network expert system because the traditional expert system cannot be self learning and adaptive.The algorithm combined the wavelet neural network with expert system,and it give full play to the fault diagnosis of their advantages .It reduce the diagnostic error for motor greatly. The simulation results show the effectiveness of the algorithm.