模糊贝叶斯网络的基本理论及其在机械故障诊断中的应用

Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007) Pub Date : 2007-08-24 DOI:10.1109/FSKD.2007.202

Hao Tang, Shi Liu

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引用次数: 40

摘要

贝叶斯网络是一种有效的不确定知识表示和推理方法。模糊集可以用来表示特定区域内的模糊事件或模糊目标。本文结合这两种理论，讨论了模糊事件的概率，提出了一种模糊集和贝叶斯网络的混合推理系统，称为模糊贝叶斯网络(FBNs)。”。通过实例验证了fbn在机械故障诊断中的有效性。

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Basic Theory of Fuzzy Bayesian Networks and Its Application in Machinery Fault Diagnosis

Bayesian network is an effective uncertain knowledge representation and reasoning method. Fuzzy sets can be used for expressing fuzzy events or fuzzy objectives in some special region. Combining these two theories, this paper discusses the probability of the fuzzy event and presents a hybrid inference system with fuzzy sets and Bayesian networks which are called "Fuzzy Bayesian Networks (FBNs) ". Then a case demonstrates the validity of FBNs in machinery fault diagnosis.

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Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007)

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