Fault diagnosis model based on Petri net with fuzzy colors

被引：6

作者：

Ouali, MS ^{[1
]}

Ait-Kadi, D

Rezg, N

机构：

[1] Univ Moncton, Sch Engn, Moncton, NB E1A 3E9, Canada

[2] Univ Laval, Dept Ind Engn, St Foy, PQ G1K 7P4, Canada

来源：

COMPUTERS & INDUSTRIAL ENGINEERING | 1999年 / 37卷 / 1-2期

关键词：

fault diagnosis; fuzzy information; modeling; simulation;

D O I：

10.1016/S0360-8352(99)00048-0

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

The problem addressed in this paper concerns fault diagnosis based on incomplete and/or uncertain information. The aim of this research is to explore all information which can be supplied by operators or exploitation persons in order to make more efficient fault diagnosis process. A Petri net with fuzzy colors (PNCF) tool has been developed to model functional structure of equipment and to reproduce propagation process of failure. Fuzzy colors are used to characterize information and processed by PNFC rules to identify the type of fault and to determine the sequence of tests which should be applied to locate faulty component. The practice and the usefulness of PNFC in the fault diagnosis problem will be discussed using an example. (C) 1999 Elsevier Science Ltd. All rights reserved.

引用

页码：173 / 176

页数：4

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