仪器仪表系统再制造预测与健康管理方法

Kai Wang, Aidong Xu, Jing Tian, M. Pecht
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引用次数: 1

摘要

再制造既减少了所需的自然资源,又减少了产生的废物,因此可以有效地帮助减轻环境负担。目前,再制造在过程仪表行业得到了广泛的应用。仪器仪表是一个过程运行的大脑,如何进行仪器仪表的再制造对工厂的安全性和经济性起着决定性的作用。然而,由于缺乏再制造决策方法,诸如执行再制造的最佳时间以及应该更换哪些部件等挑战仍然没有得到解决。为此,本文提出了一种基于预测和健康管理的仪器仪表系统再制造方法。首先,利用失效模式、机制和影响分析(FMMEA)确定了不同类别的部件进行原位监测。然后,基于PHM技术计算每个组件的系统级性能指数(PI)。最后,通过特定于应用程序的映射模型,根据相应的系统级PI实现每个组件的组件运行状况索引。该方法可以最大限度地利用仪器的剩余使用寿命,从而最大限度地降低再制造成本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A prognostics and health management method for instrumentation system remanufacturing
Remanufacturing can effectively help reduce the environmental burden considering that it reduces both the natural resources needed and the waste produced. Currently, remanufacturing has been widely applied in the process instrumentation industry. Considering that the instrumentation makes up the brain of a process operation, how to remanufacture instrumentation plays a decisive role in the safety and economy of a plant. However, challenges such as what is the best time to performing remanufacturing and what components should be replaced, are still not being addressed because the remanufacturing decision-making method is missing. Therefore, a prognostics and health management (PHM)-based method is proposed for instrumentation system remanufacturing in this paper. First, different categories of components are identified for in-situ monitoring using failure modes, mechanisms, and effects analysis (FMMEA). Then, a system-level performance index (PI) for each component is calculated based on the PHM techniques. Finally, the component health index for each component is achieved based on the corresponding system-level PI by an application-specific mapping model. The remaining useful life of the instrumentation can be optimally used, and thus the cost of remanufacturing can be minimized by using the method proposed.
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