This article presents the risk assessment of a mixing tank mechanical system based on the failure probabilities of the components. Possible component failures can cause accidents which evolve over multiple time stages and can lead to system failure. The consequences of these accident scenarios are analyzed by quantifying the failure probabilities and severity of their outcomes. Illustrative costs and updated failure probabilities are provided to evaluate preventive safety measures. Data refers to the results of the Bayesian model presented in our research article (Mancuso et al., 2019).
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机译：本文介绍了基于组件故障概率的混合罐机械系统的风险评估。可能的组件故障可能会导致事故，这些事故会在多个时间段内演变并导致系统故障。通过量化故障概率及其后果的严重性来分析这些事故场景的后果。提供了说明性成本和更新的故障概率，以评估预防性安全措施。数据是指在我们的研究文章（Mancuso et al。，2019）中提出的贝叶斯模型的结果。
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