基于BP神经网络的发动机故障诊断专家系统

Expert system in engine fault diagnosis based on BP neural network

电控发动机结构复杂,故障率高,研究其故障诊断专家系统能够及时准确地对故障做出判断,提高诊断效率。针对传统专家系统在知识获取及推理中的不足,提出将人工神经网络与专家系统结合的设想,介绍了基于BP神经网络的故障诊断专家系统的结构及原理,并运用到发动机故障诊断中,实践结果证明该方法切实有效。

The structure of electronic controlled engine is complex, it has a high fault rate, the fault diagnosis expert system can timely and accurately judge the fault, so that the efficiency is improved. Aiming at the shortcomings of traditional expert system in knowledge acquisition and reasoning, the idea of combining artificial neural network and expert system is proposed. The paper introduces the structure and principle of fault diagnosis expert system based on BP neural network and application in engine fault diagnosis, the experiment result proves that the method is valid.