Fuzzy Petri nets and its application in the fault diagnosis of electric power systems

Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering

Volumn 24, Issue 9, 2004, Pages 74-79

  Sun, Jing ^a   Qin, Shi Yin ^a   Song, Yong Hua ^b  

^a BEIHANG UNIVERSITY   (China)

^b BRUNEL UNIVERSITY   (United Kingdom)

Author keywords

Electric power engineering; Electric power systems; Fault diagnosis; Fuzzy Petri nets

Indexed keywords

ELECTRIC POWER SYSTEMS; FAILURE (MECHANICAL); RELAY PROTECTION;

FAULT DIAGNOSIS; FAULT TOLERANCE; FUZZY PETRI NETS; PARALLEL PROCESSING; RAPID RESPONSE;

DIAGNOSIS;

EID: 7244261903     PISSN: 02588013     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Article

References (15)

1. Togamj M, Abe N, Kitahashi T, et at. Probabilistic approach of a decision tree to fault diagnosis on power distribution lines[C]. Presented at the 1999 Int. Conf. Electric Power Engineering, 29 Aug. -2 Sept. 1999: 129.
2. Chen Changzheng, Liu Qiang. Applications of probabilistic causal network in fault diagnosis of turbine machinery[J]. Proceedings of the CSEE, 2001, 21(3): 78-81.
3. Yang Bing, Ding Hui, Luo Weimin. et al. Expert system of transformer fault diagnosis based on knowledge base[J]. Proceedings of the CSEE, 2002, 22(10): 121-124.
4. Bi Tianzhu, Ni Yixin, Wu Fuli, et al. A novel neural network approach for fault section estimation[J]. Proceedings of the CSEE, 2002, 22(2): 73-78.
5. Ling Weiye, Jia Minping, Xu Feiyun, et al. Optimal strategy on rough set neural network fault diagnosis system [J]. Proceedings of the CSEE, 2003, 23(5): 98-102.
6. Tang Lei, Sun Hongbin, Zhang Boming. et al. Online fault diagnosis for power system based on information theory[J]. Proceedings of the CSEE, 2003, 23(7): 5-11.
7. H. Monsef, A. M. Ranjbar, S. Jadid. Fuzzy Rule-Based Expert System for Power System Fault Diagnosis. [J]. IEE Proc.-Gener. Transm. Distrib., March 1997, 144(2): 186-192.
8. da Silva, V. N. A. L., R. S, Zubulum. An integration of neural networks and fuzzy logic for power systems diagnosis[J]. Presented at the 1996 Int. Conf. Intelligent Systems Applications to Power Systems, 28 Jan. -2Feb. 1996: 237-241.
9. F. S. Wen, C. S. Chang. Tabu Search Approach to Alarm Processing in Power Systems[J]. IEE Pro.-Gener. Transm. Distrib., Jan. 1997, 144(1): 31-38.
10. Young Moon Park, Gwang-Won Kim, Jin-Man Sohn, A logic based expert system (LBES) for fault diagnosis of power system[J]. IEEE Trans. on Power Systems, Feb. 1997, 12(1): 363-369.
11. K. L. Lo, H. S. Ng, D. M. Grant, J. Trecat. Extended Petri Net Models for Fault Diagnosis for Substation Automation[J]. IEE Proc.-Gener. Transm. Distrib., May 1999, 146(3): 229-234.
12. Sun Jing, Qin ShiYin, Y H. Song. A fault diagnosis method for power systems based on Petri nets and probability information [J]. Automation of Electric Power Systems, 2003, 27(13): 10-14, 23.
13. Shyi-ming chen, Jyh-sheng ke, Jin-fu Chang. Knowledge Representation Using Fuzzy Petri Nets[J]. IEEE Trans. On Knowledge and Data Engineering, Sept. 1990, 2(3): 311-319.
14. Wen Fushuan, Han Zhenxiang. Fault section estimation in power systems using genetic algorithm and simulated annealing [J]. Proceedings of the CSEE, 1994, 14(3): 29-35.
15. Hyun-Joon Cho, Jong-Keun Park. An Expert System for Fault Section Diagnosis of Power Systems Using Fuzzy Relations [J]. IEEE Trans. on Power Systems, Feb. 1997, 12(1): 342-348.