A Model-based RCM Analysis Method

Zhibao Mian, Shuli Jia, Xiaodong Shi, Cairong Tang, Junjie Chen, Y. Gao
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引用次数: 1

Abstract

The reliability-centered maintenance (RCM) is one of the most advanced maintenance plan generating technologies for equipments. At present, the key technologies such as FMEA and FMECA supporting the RCM analysis remains in the manual stage in some enterprises. The disadvantages are time-consuming, labour-intensive and error-prone. For complex systems containing thousands of components, to achieve a fast and effective FMECA analysis is difficult. RCM should benefit from the most advanced model-based systems engineering methods. In this paper, a model-based RCM analysis framework (MRAF) is presented. Based on this framework, RCM analysts can use model-based reliability analysis techniques, such as AADL, to model the system architecture and faults information. Then the AADL-based analysis platform OSATE can be used to automatically produce the FMEA. By combining the generated FMEA with the criticality analysis (CA) technology, this paper can semiautomatically generate the FMECA for equipments and systems being analyzed by RCM.
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基于模型的RCM分析方法
以可靠性为中心的维护(RCM)是目前最先进的设备维护计划生成技术之一。目前,一些企业对支持RCM分析的FMEA、FMECA等关键技术还停留在手工阶段。缺点是费时、费力且容易出错。对于包含数千个组件的复杂系统,实现快速有效的FMECA分析是困难的。RCM应该受益于最先进的基于模型的系统工程方法。本文提出了一个基于模型的RCM分析框架(MRAF)。基于该框架,RCM分析人员可以使用基于模型的可靠性分析技术,如AADL,对系统架构和故障信息进行建模。然后利用基于aadl的分析平台OSATE自动生成FMEA。本文将生成的FMEA与临界性分析(CA)技术相结合,实现了对RCM分析的设备和系统的FMECA的半自动生成。
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