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Bayesian networks utilization for reliability evaluation of power systems

机译:贝叶斯网络用于电力系统可靠性评估

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Bayesian networks proved to be a useful tool in power engineering for: availability and reliability studies, power quality analysis, risk evaluation, components monitoring and fault diagnosis. The paper is dedicated to reliability analysis of power systems and authors present details how the method based on Bayes' theorem of conditional probability can be used for reliability evaluation of different architectures of power system nodes and electricity supply chains. The RBD-reliability block diagram, cut-sets or tie-sets methods and event tree or failure tree techniques can be used to construct Bayesian networks based on corresponding real systems.
机译:贝叶斯网络被证明是电力工程中有用的工具:可用性和可靠性研究,电能质量分析,风险评估,组件监测和故障诊断。本文旨在致力于电力系统的可靠性分析,提交人提供了基于条件概率的贝叶斯定理的细节,可用于电力系统节点和电力供应链的不同架构的可靠性评估。 RBD可靠性框图,切割集或串组方法和事件树或故障树技术可用于构建基于相应的真实系统的贝叶斯网络。

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