A power quality perspective to system operational diagnosis using fuzzy logic and adaptive techniques

IEEE Transactions on Power Delivery

Volumn 18, Issue 3, 2003, Pages 903-909

  Ibrahim, Wael R Anis ^a   Morcos, Medhat M ^a  

^a Sunflower Networking Group   (United States)

Author keywords

Adaptive fuzzy techniques; Artificial intelligence; Fuzzy logic; Power quality; System diagnosis

Indexed keywords

ADAPTIVE SYSTEMS; ARTIFICIAL INTELLIGENCE; FUZZY SETS; QUALITY CONTROL;

POWER QUALITY;

ELECTRIC POWER SYSTEMS;

EID: 0038155344     PISSN: 08858977     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPWRD.2003.813885     Document Type: Article

References (14)

1. M. M. Morcos and W. R. A. Ibrahim, "Electric power quality and artificial intelligence: Overview and applicability," IEEE Power Eng. Rev., vol. 19, no. 6, pp. 5-10, 1999.
2. W. R. A. Ibrahim, M. M. Morcos, and D. G. Kreiss, "An adaptive neuro-fuzzy intelligent tool and expert system for power quality analysis - Part I: An introduction," in Proc. IEEE Power Eng. Soc. Summer Meeting, vol. 1, Edmonton, AB, Canada, 1999, pp. 493-498.
3. R. C. Dugan, M. F. McGranaghan, and H. W. Beaty, Electric Power Systems Quality. New York: McGraw-Hill, 1996.
4. G. T. Heydt, Electric Power Quality: Stars in a Circle, 1994.
5. E. Cox, "Fuzzy fundamentals,"IEEE Spectr., vol. 29, no. 10, pp. 58-61, 1992.
6. C. C. Lee, "Fuzzy logic in control systems: Fuzzy logic controller - Part I," IEEE Trans. Syst., Man, Cybern., vol. 20, pp. 404-418, Mar./Apr. 1990.
7. _, "Fuzzy logic in control systems: Fuzzy logic controller - Part II," IEEE Trans. Syst., Man, Cybern., vol. 20, pp. 419-435, Mar./Apr. 1990.
8. J. M. Mendel, "Fuzzy logic systems for engineering: A tutorial," Proc. IEEE, vol. 83, no. 3, pp. 345-377, 1995.
9. T. J. Ross, Fuzzy Logic With Engineering Applications. New York: McGraw- Hill, 1995.
10. H. T. Nguyen and E. A. Walker, A First Course In Fuzzy Logic. London, U.K.: Chapman & Hall/CRC, 2000.
11. J.-S. R. Jang, "ANFIS: Adaptive-network-based fuzzy inference system," IEEE Trans. Syst., Man, Cybern., vol. 23, pp. 665-685, May/June 1993.
12. J.-S. R. Jang and C.-T. Sun, "Neuro-fuzzy modeling and control," Proc. IEEE, vol. 83; no. 3, pp. 378-406, 1995.
13. C.-T. Lin and C. S. G. Lee, "Neural-network-based fuzzy logic control and decision system," IEEE Trans. Comput., vol. 40, pp. 1320-1336, Dec. 1991.
14. J.-S. R. Jang, C.-T. Sun, and E. Mizutani, Neuro-Fuzzy and Soft Computing - A Computational Approach to Learning and Machine Intelligence: Englewood Cliffs, NJ: Prentice-Hall, 1997.