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Research on Fault Diagnosis Model of Tank Equipment

机译:坦克设备故障诊断模型研究

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摘要

Taking the common fault to a certain type of short-wave radio as an example, Bayesian network, expert system and BP neural network theory were used to construct three intelligent fault diagnosis models, respectively by Genie, CLIPS and MATLAB software simulation. The results show that the three intelligent fault diagnosis method compared with the traditional method, a rapid and accurate diagnostic performance model can be extended to other communications and electronic equipment fault diagnosis.
机译:以某种类型的短波无线电带来常见的错误,例如贝叶斯网络,专家系统和BP神经网络理论用于构建三个智能故障诊断模型,分别通过Genie,剪辑和MATLAB软件仿真构建。结果表明,三种智能故障诊断方法与传统方法相比,快速准确的诊断性能模型可以扩展到其他通信和电子设备故障诊断。

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