On the use of probabilistic model-checking for the verification of prognostics applications

J. Aizpurua, V. Catterson
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引用次数: 5

Abstract

Prognostics aims to improve asset availability through intelligent maintenance actions. Up-to-date remaining useful life predictions enable the optimization of maintenance planning. Verification of prognostics techniques aims to analyze if the prognostics application meets the design requirements. Online prognostics applications depend on the data-gathering hardware architecture to perform correct prognostics predictions. Accordingly, when verifying prognostics requirements compliance, it is necessary to include the effect of hardware failures on prognostics predictions. In this paper we investigate the use of formal verification techniques for the integrated verification of prognostics applications including hardware and software components. Focusing on the probabilistic model-checking approach, a case study from the power industry shows the validity of the proposed framework.
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关于使用概率模型检查来验证预测应用
预测旨在通过智能维护行动提高资产可用性。最新的剩余使用寿命预测可以优化维护计划。预测技术验证的目的是分析预测应用是否满足设计要求。在线预测应用程序依赖于数据收集硬件架构来执行正确的预测预测。因此,在验证预测需求遵从性时,有必要在预测预测中包括硬件故障的影响。在本文中,我们研究了使用形式化验证技术对包括硬件和软件组件在内的预测应用程序进行集成验证。针对概率模型检验方法,电力行业的一个案例研究表明了该框架的有效性。
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