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A novel general approach to evaluating the PCBA for components with different membership function

机译：一种评估具有不同隶属函数的组件的PCBA的新颖通用方法

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摘要

The logistic support of high tech industry all emphasize that reliability design start, one must fully considers its life cycle. The reliability analysis and prediction are the main work objectives. The purpose is to ensure that the system (product) can achieve its designed functions under specific operating conditions. However, the incomplete failure data and different fault probability density function of the system elementary event also increase the difficulty of reliability design and calculation. It cannot be fully solved by traditional probability reliability. Therefore, a more general and efficient algorithm to assess the system reliability is needed. This paper proposed speculation by experts' opinions according to incomplete information condition. It reasonably gives different fault membership function of possibility of failure distribution under different bottom event. It also applies fault-tree analysis, α-cut of vague set, and interval arithmetic operations of vague set to obtain fault interval and reliability interval of the system. Moreover, this paper also modifies Tanaka et al.'s fuzzy fault-tree definition and extended the new usage to fit different membership function of vague fault-tree. Then, find out the critical elementary event that affects the reliability of the system, which could be used for managerial decision-making, and as the bases to future system maintenance strategy. In numerical verification, a malfunction of printed circuit board assembly (PCBA) is presented as a numerical example. The result of the proposed method is compared with the listing approaches of reliability analysis methods.
机译：高科技行业的物流支持都强调可靠性设计的开始，必须充分考虑其生命周期。可靠性分析和预测是主要的工作目标。目的是确保系统（产品）在特定操作条件下可以实现其设计功能。然而，不完整的故障数据和系统基本事件的不同故障概率密度函数也增加了可靠性设计和计算的难度。传统的概率可靠性不能完全解决它。因此，需要一种更通用，更有效的算法来评估系统可靠性。本文根据信息不完全的情况，提出了专家意见的推测。它合理地赋予了不同的故障隶属度函数，以在不同的底部事件下分配故障。还应用故障树分析，Vague集的α割和Vague集的区间算术运算来获得系统的故障区间和可靠性区间。此外，本文还修改了Tanaka等人的模糊故障树定义，并扩展了新用法，以适应模糊故障树的不同隶属函数。然后，找出影响系统可靠性的关键基本事件，该事件可用于管理决策，并作为将来系统维护策略的基础。在数值验证中，将以印刷电路板组件（PCBA）的故障为例。将该方法的结果与可靠性分析方法的列出方法进行了比较。

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