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首页> 外文期刊>Advances in Mechanical Engineering >Investigation of Bayesian network for reliability analysis and fault diagnosis of complex systems with real case applications:
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Investigation of Bayesian network for reliability analysis and fault diagnosis of complex systems with real case applications:

机译：贝叶斯网络研究，用于具有实际案例的复杂系统的可靠性分析和故障诊断：

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摘要

Reliability is critical for complex engineering systems. Traditionally, reliability analysis and fault diagnosis of complex engineering systems is based on reliability block diagram and fault tree. These methods are limited either on the flexibility for system characterization or on the capability for quantitative analysis. Recently, the Bayesian network has been introduced in reliability engineering, and it has been demonstrated with great flexibility. In this article, the Bayesian network is investigated for reliability analysis and fault diagnosis of complex engineering systems through two real cases. It includes the case of a high-speed train representing the complex system with standardized components and the case of a critical subsystem of a high-power solid-state laser representing the complex system with highly customized components. In particular, Bayesian networks are constructed to model the reliability of these systems, where transformations of reliability block diagram and fault tree into Bay...
机译：可靠性对于复杂的工程系统至关重要。传统上，复杂工程系统的可靠性分析和故障诊断基于可靠性框图和故障树。这些方法受限于系统表征的灵活性或定量分析的能力。最近，贝叶斯网络已经被引入可靠性工程中，并且已经被证明具有极大的灵活性。在本文中，将通过两个实际案例研究贝叶斯网络，以进行复杂工程系统的可靠性分析和故障诊断。它包括高速火车代表具有标准化组件的复杂系统的情况，以及高功率固态激光器的关键子系统代表具有高度定制化组件的复杂系统的情况。尤其是构造贝叶斯网络以对这些系统的可靠性进行建模，其中将可靠性框图和故障树转换为贝...

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