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Online probabilistic assessment of operating safety for multi-mode engineering systems based on Bayesian methods

机译:基于贝叶斯方法的多模式工程系统操作安全在线概率评估

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Operating safety has become more and more important in today's engineering systems, since the systems become more and more complex. And it is crucial to develop strategies for online operating safety assessment. Although there have been some studies and researches on operating safety assessment, online assessment has not yet been paid sufficient attention, especially for multi-mode engineering systems. This paper proposes a probabilistic framework of online operating safety assessment for multi-mode engineering systems. First, a Gaussian mixture model (GMM) is used to characterize multiple operating modes. Then, based on a kind of definition of safety index (SI) the SI for one single mode is calculated. A Bayesian method is then presented to calculate the posterior probabilities belonging to each operating mode with consideration of sample dependency.
机译:由于系统变得越来越复杂,操作安全在当今的工程系统中变得越来越重要。并且为在线经营安全评估进行战略至关重要。虽然有一些研究和研究操作安全评估,但在线评估尚未得到足够的注意力,特别是对于多模式工程系统。本文提出了多模式工程系统的在线操作安全评估的概率框架。首先,使用高斯混合模型(GMM)来表征多种操作模式。然后,基于安全索引的定义(SI)计算一个单个模式的SI。然后呈现贝叶斯方法以考虑样本依赖性计算属于每个操作模式的后验概率。

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