Multiple failure modes analysis and weighted risk priority number evaluation in FMEA

Multiple failure modes analysis and weighted risk priority number evaluation in FMEA
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DOI:
10.1016/j.engfailanal.2011.02.004
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发表时间:
2011-06-01
影响因子:
4
通讯作者:
Jin, Tongdan
Jin, Tongdan
中科院分区:
工程技术2区
文献类型:
--
作者:
Xiao, Ningcong;Huang, Hong-Zhong;Jin, Tongdan

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传统的失效模式与影响分析(FMEA)只考虑单个失效对系统的影响。对于大型复杂系统,由于存在组件的多个故障,因此评估具有所有可能组合的多个故障模式是不切实际的。Pickard等人[1]介绍了一种同时分析复杂系统多个故障的有用方法。但他们没有指出需要考虑哪些故障以及如何适当地将它们联合收割机组合起来。本文扩展皮卡德的工作,提出了一个最小割集为基础的方法来评估多个故障模式的影响。此外,传统的FMEA是通过从最大的风险优先数(RPN)到最小的顺序来解决问题的。然而,这种方法的一个缺点是它忽略了三个因素(严重性(S),发生率(O),检测(D))(S,O,D)在系统中具有不同的权重而不是相等的事实。例如,对于某些不可修系统,因子S,O的合理权重高于D的权重。在本文中,我们扩展了RPN的定义,它乘以一个权重参数,它表征系统内的故障原因的重要性。最后通过数值算例验证了该方法的有效性。(C)2011爱思唯尔有限公司版权所有。
Traditionally, failure mode and effects analysis (FMEA) only considers the impact of single failure on the system. For large and complex systems, since multiple failures of components exist, assessing multiple failure modes with all possible combinations is impractical. Pickard et al. [1] introduced a useful method to simultaneously analyze multiple failures for complex systems. However, they did not indicate which failures need to be considered and how to combine them appropriately. This paper extends Pickard's work by proposing a minimum cut set based method for assessing the impact of multiple failure modes. In addition, traditional FMEA is made by addressing problems in an order from the biggest risk priority number (RPN) to the smallest ones. However, one disadvantage of this approach is that it ignores the fact that three factors (Severity (S), Occurrence (O), Detection (D)) (S, O, D) have the different weights in system rather than equality. For examples, reasonable weights for factors S, O are higher than the weight of D for some non-repairable systems. In this paper, we extended the definition of RPN by multiplying it with a weight parameter, which characterize the importance of the failure causes within the system. Finally, the effectiveness of the method is demonstrated with numerical examples. (C) 2011 Elsevier Ltd. All rights reserved.