广东工业大学 计算机学院,广东,广州,510006
石聪聪(1992−),男,硕士研究生,主要研究方向为控制理论与控制工程、算法分析与设计
刘富春(1971−),男,教授,主要研究方向为离散事件系统理论. E-mail: liufch@gdut.edu.cn
网络首发:2019-01-25,
纸质出版:2019
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石聪聪, 刘富春. 模糊离散事件系统基于模式的故障诊断[J]. 广东工业大学学报, 2019, 36(1): 35-41.
Shi Cong-cong, Liu Fu-chun. A Pattern-Based Failure Diagnosis of Fuzzy Discrete-Event Systems[J]. 2019, 36(1): 35-41.
石聪聪, 刘富春. 模糊离散事件系统基于模式的故障诊断[J]. 广东工业大学学报, 2019, 36(1): 35-41. DOI: 10.12052/gdutxb.180051.
Shi Cong-cong, Liu Fu-chun. A Pattern-Based Failure Diagnosis of Fuzzy Discrete-Event Systems[J]. 2019, 36(1): 35-41. DOI: 10.12052/gdutxb.180051.
以模糊自动机为模型
研究模糊离散事件系统基于模式的故障诊断问题. 先针对
S
类型和
T
类型两种故障模式
分别对模糊离散事件系统的
S
类型模式可诊断性和
T
类型模式可诊断性进行了形式化
再通过构造
S
类型模式诊断器和
T
类型模式诊断器
分别得到了模糊离散事件系统关于
S
类型模式可诊断性和
T
类型模式可诊断性的充分必要条件
实现了模糊离散事件系统基于模式的故障诊断.
Failure diagnosis of discrete event systems (DESs) has received considerable attention in recent years. The failure diagnosis for fuzzy discrete event systems (FDESs) modeled by fuzzy automata is investigated. First
for two kinds of failure patterns:
S
type pattern and
T
type pattern
the notions of diagnosability for
S
type pattern and for
T
type pattern of FDESs are respectively formalized. Then by constructing
S
type pattern diagnoser and
T
type pattern diagnoser
the necessary and sufficient conditions for the diagnosability of
S
type pattern and
T
type pattern of FDESs a
re respectively proposed
and the pattern-based failure diagnosis of FDESs is realized.
CASSANDRAS C, LAFORTUNE S. Introduction to discrete event systems 2ed[M]. New York: Springer, 2008.
LIN F. Diagnosability of discrete event systems and its applications [J]. Discrete Event Dynamic Systems: Theory and Applications, 1994, 4(2): 197-212.
HOPCROFT J E, MOTWANI R, ULLMAN J D. Introduction to automata theory, Languages, and Computation 2ed[M]. Boston: Addison Wesley, 2001.
YOO T S, LAFORTUNE S. Polynomial-time verification of diagnosability of partially observed discrete-event systems [J]. Automatic Control IEEE Transactions on, 2002, 47(9): 1491-1495.
HU Q, LIU F C. Optimization control of cloud resource allocation based on DES [J]. Journal of Guangdong University of Technology, 2016, 33(1): 29-35.
DEBOUK R, LAFORTUNE S, TENEKETZIS D. Coordinated decentralized protocols for failure diagnosis of discrete event systems [J]. Discrete Event Dynamic Systems: Theory and Applications, 2000, 10(1): 33-86.
PENCOLÉ Y. Diagnosability analysis of distributed discrete event systems[C]//ECAI 2004 16th European Conference on Artificial Intelligence. Spain, Valencia: IEEE, 2008: 43-47.
DUBOIS D, PRADE H. Fuzzy sets and systems: theory and applications[M]. New York: Academic Press, 1980.
LIN F, YING H. Fuzzy discrete event systems and their observability[C]//Joint 9th Ifsa World Congress and 20th Nafips International Conference. Canada, Vancouver: IEEE, 2001: 1271-1276.
CAO Y, YING M. Observability and decentralized control of fuzzy discrete-event systems [J]. IEEE Transactions on Fuzzy Systems, 2004, 14(2): 202-216.
CAO Y, YING M. Supervisory control of fuzzy discrete event systems [J]. IEEE Transactions on Systems Man Cybernetics Part B Cybernetics, 2005, 35(2): 366-371.
QIU D. Supervisory control of fuzzy discrete event systems: a formal approach [J]. IEEE Transactions on Systems Man Cybernetics Part B Cybernetics, 2005, 35(1): 72-88.
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.
CAO Y, YING M, CHEN G. State-based control of fuzzy discrete-event systems [J]. IEEE Transactions on Systems Man Cybernetics Part B Cybernetics, 2007, 37(2): 410.
LIU J, LI Y. The relationship of controllability between classical and fuzzy discrete-event systems [J]. Basic Sciences Journal of Textile Universities, 2007, 178(21): 4142-4151.
LIU F, QIU D. Decentralized supervisory control of fuzzy discrete event systems [J]. European Journal of Control, 2008, 14(3): 234-243.
LIU F, QIU D. Diagnosability of fuzzy discrete-event systems: a fuzzy approach [J]. IEEE Transactions on Fuzzy Systems, 2009, 17(2): 372-384.
LIU F, DZIONG Z. Decentralized diagnosis of fuzzy discrete-event systems [J]. European Journal of Control, 2012, 18(3): 304-315.
LIU F. Safe diagnosability of fuzzy discrete-event systems and a polynomial-time verification [J]. IEEE Transactions on Fuzzy Systems, 2015, 23(5): 1534-1544.
GENC S, LAFORTUNE S. Diagnosis of patterns in partially-observed discrete-event systems[C]//IEEE Conference on Decision and Control. California, San Diego: IEEE, 2007: 422-427.
JERON T, MARCHAND H, PINCHINAT S, et al. Supervision patterns in discrete event systems diagnosis[C]//International Workshop on Discrete Event Systems. Germany, Berlin: IEEE, 2010: 262-268.
YE L, DAGUE P, YAN Y. An incremental approach for pattern diagnosability in distributed discrete event systems[C]//IEEE International Conference on Tools with Artificial Intelligence. New Jersey, Newark: IEEE, 2009: 123-130.
YE L, DAGUE P. A general algorithm for pattern diagnosability of distributed discrete event systems[C]//IEEE International Conference on Tools with Artificial Intelligence. Washington: IEEE, 2013: 130-137.
崔海春. 基于模式的离散事件系统故障诊断方法[D]. 长春: 吉林大学计算机科学与技术学院, 2013.
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