基于神经网络和专家系统的两级故障诊断系统在汽车发动机故障诊断中的应用研究
Based on Neural Network and Expert System Two-stage Fault Diagnosis System Applied in Automobile Engine Fault Diagnosis
本文提出了一种基于神经网络和专家系统的两级故障诊断系统，并以汽车发动机作为研究对象，对此方法进行了详细的验证，结果证实了该系统能够实现故障的快速诊断，性能良好。另外提出，若能将该系统集成于AMR9中,并安装于车身上，将实现人工智能在故障诊断及汽车改进方面的又一次飞跃。
his paper presents a two-level fault diagnosis system based on neural network and expert system. And taking the automobile engine as the research object, this method was verified in detail, being confirmed this system can realize the breakdown rapid diagnosis, With good performance good performance. In addition, This paper proposes if the proposed system was integrated in AMR9, and installed in the vehicle body, it will achieve artificial intelligence another leap in fault diagnosis and vehicle improvements.
刘瑞平、李国勇
自动化技术、自动化技术设备
BP神经网络专家系统两级故障诊断
BP Neural NetworkExpert Systemdual-stage fault diagnosis
刘瑞平,李国勇.基于神经网络和专家系统的两级故障诊断系统在汽车发动机故障诊断中的应用研究[EB/OL].(2010-04-19)[2025-08-02].http://www.paper.edu.cn/releasepaper/content/201004-666.点此复制
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