Reversed fuzzy Petri nets and their application for fault diagnosis

被引：52

作者：

Hu, Hesuan ^{[1
,2
]}

Li, Zhiwu ^{[1
]}

Al-Ahmari, Abdulrahman ^{[2
]}

机构：

[1] Xidian Univ, Sch Electromech Engn, Xian 710071, Shaanxi, Peoples R China

[2] King Saud Univ, Coll Engn, Dept Ind Engn, Riyadh 11421, Saudi Arabia

来源：

COMPUTERS & INDUSTRIAL ENGINEERING | 2011年 / 60卷 / 04期

关键词：

Manufacturing system; Fuzzy reasoning; Fault diagnosis; DECISION-MAKING;

D O I：

10.1016/j.cie.2010.12.003

中图分类号：

TP39 [计算机的应用];

学科分类号：

080201 [机械制造及其自动化];

摘要：

An alterative approach to the backward reasoning is presented. In classical reasoning, both users and developers of many expert systems are dedicated to the forward reasoning. However, in many newly arising expert systems such as various diagnosis systems, the backward reasoning is of special interest and often preferable. In this paper, the fuzzy Petri nets are used to analytically represent the knowledge of fault diagnosis in manufacturing systems and an iterative algorithm based on max-algebra is used to deduce the consequence-antecedent relationship between their manifestation and antecedent. Finally, the legitimacy and efficiency of the proposed approach are proved and validated by an illustrative example. (C) 2010 Elsevier Ltd. All rights reserved.

引用

页码：505 / 510

页数：6

共 22 条

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INTERVAL-VALUED FUZZY BACKWARD REASONING [J].