Modelling and reasoning for failure modes and effects analysis generation
Modelling and reasoning for failure modes and effects analysis generation
复制标题
故障模式的建模和推理以及影响分析生成
DOI：
10.1243/095440504322984849
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发表时间：
2004
期刊：
影响因子：
--
通讯作者：
Keith Case
中科院分区：
文献类型：
--
作者：
P. C. Teoh;Keith Case
摘要失效模式与影响分析（FMEA）是工业界普遍使用的质量改进和风险评估工具。它是一个动态文档，用于捕获设计和过程故障信息。然而，传统的FMEA在知识获取和重用方面有其局限性。为了提高其有效性，已经进行了大量的研究，以找到一种有效的方法来提供FMEA生成。然而，由于所需信息的复杂性，大多数研究集中在特定的设计领域的应用。本文回顾了各种FMEA的研究和建模和推理方法，可用于一般的应用。在Kato，白川和Hori于2002年提出的“知识碎片”推理概念的基础上，提出了一种新的推理方法。在概念设计阶段引入FMEA，以尽量减少代价高昂的失败风险。该方法能够在概念设计阶段利用有限的可用信息形成新的知识。已经创建了一个原型来评估所提出的方法。案例研究已经进行了验证所提出的方法。实例分析表明，该方法能够在有限信息的情况下提供可靠的结果。
Abstract Failure modes and effects analysis (FMEA) is a quality improvement and risk assessment tool commonly used in industry. It is a living document used to capture design and process failure information. However, the traditional FMEA has its limitations in terms of knowledge capture and reuse. In order to increase its effectiveness, much research has been carried out to find an effective way to provide FMEA generation. However, because of the complexity of the information needed, most of the research concentrates on the application for a specific design domain. This paper reviews various FMEA research studies and modelling and reasoning methods that can be used for generic applications. A new proposal made is based on the ‘knowledge fragment’ reasoning concept suggested by Kato, Shirakawa and Hori in 2002. FMEA is introduced in the conceptual design stage so as to minimize the risks of costly failure. The method enables new knowledge to be formed using the limited available information in the conceptual design stage. A prototype has been created to evaluate the proposed method. Case studies have been conducted to validate the proposed method. The case studies show that the method is able to provide reliable results with limited information.