Weak Diagnosability of Fuzzy Discrete Event Systems

Lun Hao-huai; Liu Fu-chun

doi:10.12052/gdutxb.210200

English Version Journal Login

您当前的位置：

首页 >

文章列表页 >

Weak Diagnosability of Fuzzy Discrete Event Systems

更新时间：2026-05-27

- Weak Diagnosability of Fuzzy Discrete Event Systems
- Vol. 40, Issue 4, Pages: 102-108(2023)
- 作者机构：
  
  广东工业大学计算机学院,广东,广州,510006
- 作者简介：
- 基金信息：
- DOI：10.12052/gdutxb.210200
  CLC： TP277
- Published：2023
- 稿件说明：
移动端阅览
伦浩怀, 刘富春. 模糊离散事件系统的弱可诊断性[J]. 广东工业大学学报, 2023, 40(4): 102-108.

Lun Hao-huai, Liu Fu-chun. Weak Diagnosability of Fuzzy Discrete Event Systems[J]. 2023, 40(4): 102-108.
伦浩怀, 刘富春. 模糊离散事件系统的弱可诊断性[J]. 广东工业大学学报, 2023, 40(4): 102-108. DOI： 10.12052/gdutxb.210200.

Lun Hao-huai, Liu Fu-chun. Weak Diagnosability of Fuzzy Discrete Event Systems[J]. 2023, 40(4): 102-108. DOI： 10.12052/gdutxb.210200.

摘要

针对故障诊断方法对系统要求过高的问题，研究模糊离散事件系统(Fuzzy Discrete Event Systems

FDES)的弱故障诊断，提出一种弱模糊诊断方法，将经典离散事件系统(Discrete Event Systems

DES)的弱故障诊断方法拓广至模糊系统。先对模糊离散事件系统的弱模糊故障可诊断性进行形式化；为验证模糊系统的弱模糊故障可诊断性，构造了一个验证器自动机，得到模糊离散事件系统弱模糊故障可诊断性的充分必要条件，实现了对模糊离散事件系统的弱模糊故障诊断。该方法既适用于模糊离散事件系统的弱模糊故障诊断，又适用于经典离散事件系统的弱故障诊断。

Abstract

Aiming at the problem that the existing fault diagnosis method has too high requirements for systems

the weak diagnosability of fuzzy discrete event system (FDES) is studied

and a weak fuzzy diagnosability method is proposed

which extends the weak diagnosability method of classical discrete event system (DES) to the fuzzy system. Firstly

the notion of weak fuzzy diagnosability of FDES is formalized; In order to verify the weak fuzzy diagnosability of fuzzy systems

a verifier automaton is constructed

and the necessary and sufficient conditions for the weak fuzzy diagnosability of FDES are obtained

in which the weak fuzzy fault diagnosis of fuzzy systems is realized. This method is suitable for weak fault diagnosis of both FDES and classical DES.

关键词

Keywords

references

DAS S R, HOLLOWAY L E. Characterizing a confidence space for discrete event timings for fault monitoring using discrete sensing and actuation signals [J]. IEEE Transactions on Systems, Man, and Cybernetics - Part A:Systems and Humans, 2000, 30(1): 52-66.

LIN F, LIN T W. Diagnosability of discrete event systems and its applications to circuit testing[C ] // Proceedings of 36th Midwest Symposium on Circuits and Systems . Detroit: IEEE, 1993: 344-347.

HADJICOSTIS C N, VERGHESE G C. Power system monitoring based on relay and circuit breaker information[C]// The 2001 IEEE International Symposium on Circuits and Systems (Cat. No. 01CH37196) . Sydney: IEEE, 2001: 197-200.

QIU W, KUMAR R. Distributed diagnosis under bounded-delay communication of immediately forwarded local observations [J]. IEEE Transactions on Systems, Man, and Cybernetics - Part A:Systems and Humans, 2008, 38(3): 628-643.

SAMPATH M, SENGUPTA R, LAFORTUNE S, et al . Diagnosability of discrete-event systems [J ] . IEEE Transactions on Automatic Control, 1995, 40(9): 1555-1575.

JIANG S B, HUANG Z D, CHANDRA V, et al . A polynomial algorithm for testing diagnosability of discrete-event systems [J ] . IEEE Transactions on Automatic Control, 2001, 46(8): 1318-1321.

YOO T S, LAFORTUNE S. Polynomial-time verification of diagnosability of partially observed discrete-event systems [J]. IEEE Transactions on Automatic Control, 2002, 47(9): 1491-1495.

CASSEZ F, TRIPAKIS S, ALTISEN K. Sensor minimization problems with static or dynamic observers for fault diagnosis[C]// Seventh International Conference on Application of Concurrency to System Design. Bratislava, Slovakia: IEEE, 2007: 90-99.

CAO L, SHU S L, LIN F, et al . Weak diagnosability of disc rete event systems [J ] . IFAC-PapersOnline, 2020, 53(4): 338-343.

AGARWAL A, MADALINSKI A, HAAR S. Effective verification of weak diagnosability [J]. IFAC Proceedings Volumes, 2012, 45(20): 636-641.

LIN F, YING H. Fuzzy discrete event systems and their observability[C]// Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569) . Vancouver: IEEE, 2001: 1271-1276.

LIN F, YING H. Modeling and control of fuzzy discrete event systems [J]. IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) , 2002, 32(4): 408-415.

ZADEH L A. Fuzzy logic = computing with words [J]. IEEE Transactions on Fuzzy Systems, 1996, 4(2): 103-111.

CAO Y Z, YING M S. Observability and decentralized control of fuzzy discrete-event systems [J]. IEEE Transactions on Fuzzy Systems, 2006, 14(2): 202-216.

CAO Y Z, YING M S. Supervisory control of fuzzy discrete event systems [J]. IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) , 2005, 35(2): 366-371.

HUQ R, MANN G K I, GOSINE R G. Behavior-modulation technique in mobile robotics using fuzzy discrete event system [J]. IEEE Transactions on Robotics, 2006, 22(5): 903-916.

BENMESSAHEL B, TOUAHRIA M, NOUIOUA F. Predictability of fuzzy discrete event systems [J]. Discrete Event Dynamic Systems, 2017, 27(4): 641-673.

LIU F C, QIU D W. Diagnosability of fuzzy discrete-event systems: a fuzzy approach [J]. IEEE Transactions on Fuzzy Systems, 2009, 17(2): 372-384.

LIU F C. Polynomial-time verification of diagnosability of fuzzy discrete event systems [J]. Science China Information Sciences, 2014, 57(6): 1-10.

QIU D W, LIU F C. Fuzzy discrete-event systems under fuzzy observability and a test algorithm [J]. IEEE Transactions on Fuzzy Systems, 2009, 17(3): 578-589.

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

A Pattern-Based Failure Diagnosis of Fuzzy Discrete-Event Systems

Safe Diagnosis of Pattern Failure of Decentralized Fuzzy Discrete Event Systems

Failure Predictability of Stochastic Discrete Event Systems

Research on Foreign Object Detection in Power Transmission Lines Based on the AAGV-YOLOX Model

A Study of Power Quality Regulation Strategies of Energy Storage Converters

Related Author

Shi Cong-cong

Liu Fu-chun

Wang Wei-lin

Liu Fu-chun

Ye Bin-bin

Liu Fu-chun

Related Institution

School of Computers, Guangdong University of Technology

AI问答

⁰