Bayesian networks-Based approach for power systems fault diagnosis

IEEE Transactions on Power Delivery

Volumn 21, Issue 2, 2006, Pages 634-639

  Yongli, Zhu ^a   Limin, Huo ^b   Jinling, Lu ^a  

^a NORTH CHINA ELECTRIC POWER UNIVERSITY   (China)

^b AGRICULTURAL UNIVERSITY OF HEBEI   (China)

Author keywords

Bayesian networks; Fault diagnosis; Noisy And node; Noisy Or node; Parameter revision

Indexed keywords

ALGORITHMS; BUSBARS; ELECTRIC LINES; ELECTRIC POWER TRANSMISSION; ELECTRIC TRANSFORMERS; ERROR ANALYSIS; MATHEMATICAL MODELS; NEURAL NETWORKS; STATISTICAL METHODS;

BAYESIAN NETWORKS; FAULT DIAGNOSIS; NOISY-AND NODE; NOISY-OR NODE; PARAMETER REVISION; POWER SYSTEMS FAULT DIAGNOSIS; TRANSMISSION POWER SYSTEM;

ELECTRIC POWER SYSTEMS;

EID: 33645741993     PISSN: 08858977     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPWRD.2005.858774     Document Type: Article

References (12)

1. Y. M. Park, G.-W. Kim, and J.-M. Sohn, "A logic based expert system(LEBS) for fault diagnosis of power system," IEEE Trans. Power Syst., vol. 12, no. 1, pp. 363-369, Feb. 1997.
2. Z. Yongli et al., "An expert system for power system fault analysis," IEEE Trans. Power Syst., vol. 9, no. 1, pp. 503-509, Feb. 1994.
3. H.-J. Cho and J.-K. Park, "An expert system for fault section diagnosis of power systems using fuzzy relations," IEEE Trans. Power Syst., vol. 12, no. 1, pp. 342-347, Feb. 1997.
4. B. Tianshu et al., "A novel network approach for fault section estimation," Proc. Chinese Soc. Electrical Engineering, vol. 22, no. 2, pp. 73-78, 2002.
5. F. S. Wen and C. S. Chang, "Probabilistic approach for fault-section estimation in power systems based on a refined genetic algorithm," Proc. Inst. Elect. Eng., Gen. Transm. Distrib., vol. 144, no. 2, pp. 160-168, 1997.
6. D. Heckerman, A. Mamdani, and M. P. Wellman, "Real-world applications of bayesian networks," Commun. ACM, vol. 38, no. 3, pp. 24-26, 1995.
7. C.-L. Chen and S. N. Talukdar, "Casual nets for diagnosis," in Proc. 4th Symp. Expert Systems Application to Power Systems, Melbourne, Australia, Jan. 1993, pp. 379-386.
8. J. Pearl, Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference. San Francisco, CA: Morgan Kaufmann, 1988.
9. S. Ramachandran, "Theory refinement of bayesian networks with hidden variables," Ph.D. dissertation, Dept. Comput. Sci., Univ. Texas Austin, Austin, TX, 1998.
10. Z. Xiaozheng, "Analysis on the event of the 220kV LUQING line of YUNNAN power network in May 23 1999," RELAY, vol. 27, no. 6, pp. 44-48, May 1999.
11. Typical Accident Analysis of Electrical Power System Protection (in Chinese). Beijing, China: Dispatching Center of National Power Company, China Electric Power Press, 2001.
12. T. Bi, Z. Yan, and F. Wen, "On-line fault section estimation in power systems with radial basis function neural network," Elect. Power Energy Syst., vol. 24, pp. 321-327, 2002.