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一种神经网络专家系统的故障诊断方法

The Diagnostic Expert System Based on Artificial Neural Network

  • 摘要: 提出将设备故障分为底层结构故障和高层功能故障的新概念,在此基础上研究用人工神经网络(ANN)诊断设备结构故障和用专家系统(ES)诊断设备功能故障的设备故障诊断新方法,同时讨论了故障特征信号的获取和故障知识的组织,并以MK9-5卷烟机为对象进行实验研究,取得了较好的效果。

     

    Abstract: A new idea is proposed for device fault diagnosis, the device faults were divided into the functional faults and constructional faults.Based on it, anovel approach of intelligent diagnosis was investigated.The diagnostic expert system based on Artificial Neural Networks(ANN)is developed for MK9-5 cigarette machine, and the tests were carried out in the laboratory.It has been shown that the new intelligent diagnostic expert system based on ANN has higher liability than the common diagnostic expert system.

     

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