Application of Multivariate Control Charts for Condition Based Maintenance

Hassan Rasay, M. Fallahnezhad, Y. Zaremehrjerdi
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引用次数: 15

Abstract

Condition monitoring is the foundation of a condition based maintenance (CBM). To relate the information obtained from the condition monitoring to the actual state of the system, it is usually required a stochastic model. On the other hand, considering the interactions and similarities that exist between CBM and statistical process control (SPC), the integrated models for CBM and SPC have been developed. These models apply control charts as a condition monitoring technique, and the inference about the operational states of the system is based on the collected information about the quality of the produced items. Finally, it is decided whether to implement certain type of maintenance actions. This paper describes the application of multivariate control charts as a condition monitoring technique for CBM purposes. To this end, an integrated model is developed, while it is used a chi-square control chart. Also, to determine the inspection time points, a constant hazard policy is applied.
多变量控制图在状态维修中的应用
状态监测是基于状态的维修(CBM)的基础。为了将从状态监测中获得的信息与系统的实际状态联系起来,通常需要一个随机模型。另一方面,考虑到CBM与统计过程控制(SPC)之间存在的相互作用和相似性,建立了CBM与SPC的集成模型。这些模型将控制图作为一种状态监测技术,并基于收集到的产品质量信息来推断系统的运行状态。最后,决定是否实施某类维护动作。本文介绍了多变量控制图作为一种状态监测技术在煤层气中的应用。为此,建立了一个综合模型,并采用卡方控制图。此外,为了确定检查时间点,应用了恒定危害策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
3.10
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