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Mission reliability-driven risk-based predictive maintenance approach of multistate manufacturing system

机译:基于任务可靠性的基于风险的多状态制造系统预测性维护方法

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摘要

With the coupling effect of equipment state, product quality, and task requirements of manufacturing system, physical condition-based maintenance of the manufacturing system has gradually failed to satisfy the corre-sponding requirements, leading to operational risk improvement continuously. However, few existing mainte-nance studies consider operational risk, such as product quality decline and production task delay. Therefore, a novel operational risk-based predictive maintenance approach is proposed using mission reliability and adopting the principle of risk-based maintenance. First, according to the operation principle of manufacturing system, the definition of mission reliability-oriented operational risk is expounded, and the mechanism of risk-based maintenance is put forward. Second, the source and types of operational risk are explained: the fundamental risk is obtained from the manufacturing equipment degradation and failures, the explicit risk is characterized by the qualification rate of key quality characteristics of process and products, and the implicit risk is quantified by the realization rate of production tasks. Third, to decrease the three risk types, an operational risk-based pre-dictive maintenance strategy is proposed to minimize the comprehensive production cost. Finally, a case study of subway current receiver manufacturing system is conducted to illustrate the effectiveness and advantages of the proposed approach.
机译:在设备状态、产品质量、制造系统任务要求的耦合作用下,基于物理状态的制造系统维护逐渐无法满足相应的需求,导致运营风险不断提升。然而,现有的维护研究很少考虑操作风险,例如产品质量下降和生产任务延迟。因此,该文提出一种基于任务可靠性、基于风险的维护原则的基于运行风险的预测性维护方法。首先,根据制造系统的运行原理,阐述了面向任务可靠性的运行风险的定义,并提出了基于风险的维护机制;其次,阐述了操作风险的来源和类型:基本风险来自制造设备的退化和故障,显性风险以工艺和产品关键质量特征的合格率为特征,隐性风险以生产任务的实现率为量化。第三,为了降低这三种风险类型,提出了一种基于操作风险的预先决定性维护策略,以最大限度地降低综合生产成本。最后,以地铁电流接收器制造系统为例,验证了所提方法的有效性和优势。

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