Using intuitionistic fuzzy sets for fault-tree analysis on printed circuit board assembly
Using intuitionistic fuzzy sets for fault-tree analysis on printed circuit board assembly
复制标题
DOI：
10.1016/j.microrel.2006.01.007
复制
发表时间：
2006-12-01
影响因子：
1.6
通讯作者：
Chang, Jing-Rong
中科院分区：
文献类型：
--
作者：
Shu, Ming-Hung;Cheng, Ching-Hsue;Chang, Jing-Rong
故障树分析（FTA）是一种强大的技术，用于通过构造子事件树，扩散到底部事件，繁殖故障并最终前往最高事件来识别系统故障中不希望事件的根本原因。从在提供底部事件失败的可能性方面综合知识和经验，本文提出了直觉模糊错误树的算法，以计算系统组件的故障间隔，并找到最关键的系统组件的最关键的系统组件基于一些基本定义的管理决策。提出的方法用于打印电路板组件（PCBA）的故障分析问题，以生成PCBA故障树，故障树节点，然后直接计算直觉的模糊性故障树间隔，传统的可靠性和直觉的可靠性可靠性的可靠性。间隔。将此提出的方法的结果与故障树方法的现有方法进行了比较。 （c）2006 Elsevier Ltd.保留所有权利。
Fault-tree analysis (FTA) is a powerful technique used to identify the root causes of undesired event in system failure by constructing a tree of sub-events, spreading into bottom events, procreating the fault and finally heading to the top event. From integrating expert's knowledge and experience in terms of providing the possibilities of failure of bottom events, an algorithm of the intuitionistic fuzzy fault-tree analysis is proposed in this paper to calculate fault interval of system components and to find the most critical system component for the managerial decision-making based on some basic definitions. The proposed method is applied for the failure analysis problem of printed circuit board assembly (PCBA) to generate the PCBA fault-tree, fault-tree nodes, then directly compute the intuitionistic fuzzy fault-tree interval, traditional reliability, and the intuitionistic fuzzy reliability interval. The result of this proposed method is compared with the existing approaches of fault-tree methods. (c) 2006 Elsevier Ltd. All rights reserved.