Overview of fault diagnosis methods for Discrete Event Systems

被引：254

作者：

Zaytoon, J. ^{[1
]}

Lafortune, S. ^{[2
]}

机构：

[1] Univ Reims, CReSTIC, F-51100 Reims, France

[2] Univ Michigan, Dept Elect Engn & Comp Sci, Ann Arbor, MI 48109 USA

来源：

ANNUAL REVIEWS IN CONTROL | 2013年 / 37卷 / 02期

基金：

美国国家科学基金会;

关键词：

PETRI-NET MODELS; DECENTRALIZED DIAGNOSIS; DISTRIBUTED DIAGNOSIS; POLYNOMIAL ALGORITHM; SUPERVISORY CONTROL; FAILURE DIAGNOSIS; SENSOR SELECTION; ROBUST DIAGNOSIS; DIAGNOSABILITY; FRAMEWORK;

D O I：

10.1016/j.arcontrol.2013.09.009

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Fault diagnosis of Discrete Event Systems has become an active research area in recent years. The research activity in this area is driven by the needs of many different application domains such as manufacturing, process control, control systems, transportation, communication networks, software engineering, and others. The aim of this paper is to review the state-of the art of methods and techniques for fault diagnosis of Discrete Event Systems based on models that include faulty behaviour. Theoretical and practical issues related to model description tools, diagnosis processing structure, sensor selection, fault representation and inference are discussed. (C) 2013 Elsevier Ltd. All rights reserved.

引用

页码：308 / 320

页数：13

共 133 条

[71] Modeling and analysis of fault-tolerant systems for machining operations based on Petri nets [J].