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Bayesian Network-based Proactive Maintenance

机译:基于贝叶斯网络的主动维护

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摘要

Today, the degradation mastery of critical components is one of the efficient means to minimise the non expected stops of production system and reduce its costs. Consequently, a prognosis process-based proactive maintenance system is proposed and formalized in this paper. This process allows to follow the system degradation and to implement adequate preventive actions for anticipating failures. Its development combines both probabilistic and event approaches for degradation mechanism modelling and dynamical monitoring.
机译:今天,关键组件的退化掌握是最大限度地减少生产系统的非预期停止并降低成本的有效手段之一。因此,提出了预后基于过程的主动维护系统并在本文中正式化。此过程允许遵循系统劣化,并为预测故障实施足够的预防措施。其开发结合了概率和事件方法来降解机制建模和动态监测。

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