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The Diagnosis of Reciprocating Machinery by Bayesian Networks

机译:贝叶斯网络对往复机械的诊断

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摘要

A Bayesian Network is a reasoning tool based on probability theory and has many advantages that other reasoning tools do not have. This paper discusses the basic theory of Bayesian networks and studies the problems in constructing Bayesian networks. The paper also constructs a Bayesian diagnosis network of a reciprocating compressor. The example helps us to draw a conclusion that Bayesian diagnosis networks can diagnose reciprocating machinery effectively.
机译:贝叶斯网络是基于概率论的推理工具,具有许多其他推理工具所没有的优点。本文讨论了贝叶斯网络的基本理论,并研究了构建贝叶斯网络的问题。本文还构建了往复式压缩机的贝叶斯诊断网络。该示例有助于我们得出结论,即贝叶斯诊断网络可以有效地诊断往复机械。

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