Intuitionistic fuzzy expert system based fault diagnosis using dissolved gas analysis for power transformer

Journal of Electrical Engineering and Technology

Volumn 9, Issue 6, 2014, Pages 2058-2064

  Mani, Geetha ^a   Jerome, Jovitha ^a  

^a PSG COLLEGE OF TECHNOLOGY   (India)

Author keywords

DGA; Fault diagnosis; IEC gas ratio; IFS; Power transformer

Indexed keywords

EXPERT SYSTEMS; FAILURE ANALYSIS; FUZZY SETS; OIL FILLED TRANSFORMERS; POWER TRANSFORMERS;

DISSOLVED GAS ANALYSES (DGA); DISSOLVED GAS ANALYSIS; GAS RATIO; INTUITIONISTIC FUZZY; TRAINING DATA; TRANSFORMER DIAGNOSIS; TRANSFORMER FAULT DIAGNOSIS; TRANSFORMER FAULTS;

FAULT DETECTION;

EID: 84908543195     PISSN: 19750102     EISSN: 20937423     Source Type: Journal    
DOI: 10.5370/JEET.2014.9.6.2058     Document Type: Article

References (11)

1. Dukarm, J. J, “Transformer Oil Diagnosis Using Fuzzy and Neural Networks”, Canadian Conference on Electrical and Computer Engineering: Canada pp. 170-175, 1993.
2. Rogers R. R., “IEEE and IEC code to interpret incipient faults in transformers using gas in oil analysis”, IEEE transaction electrical Insulation, Vol. 13(5), pp. 349-354, 1978.
3. Tang WH, Spurgeon K, Wu QW, and Richardson ZJ., “An evidential reasoning approach to transformer condition assessment”, IEEE Trans on Power Deliv, vol. 19(4) pp. 1696-730, 2004.
4. Spurgeon K, Tang WH, Wu QW, and Richardson ZJ., “Evidential reasoning in dissolved gas analysis for power transformers”, IEEE Proc Sci Measur Technol vol. 152, pp. 110-7, 2005.
5. Min Lee Hui, and Chang CS, “Application of Dempster-Shafer Theory of evidence for transformer incipient fault evidence”, In 8th International conf. on advances in power system control, operation andmanagement, Hong Kong, pp. 1-6, 2009.
6. Duval M, and Pablo A,” Interpretation of oil in gas analysis using new IEC publication 60599 and IEC TC 10 databases”, IEEE Electric Insul Mag, vol. 17 (2), pp.31-41, 2001
7. Atanassov, K., E. Szmidt, and J. Kacprzyk, “On intuitionistic fuzzy multi-dimensional sets”, Issues in Intuitionistic Fuzzy Sets and Generalized Nets, Vol. 7, 2008, 1-6.
8. Atanassov, K., E. Szmidt, J. Kacprzyk, and P. Rangasamy, “On intuitionistic fuzzy multi-dimensional sets. Part 2. Advances in Fuzzy Sets, Intuitionistic Fuzzy Sets, Generalized Nets and Related Topics. Volume I: Foundations, Academic Publishing House EXIT, Warszawa, 2008, 43-51.
9. Behjat V, Vahedi A, Setayeshmehr A, and Borsi H, Gockenbach E, “Sweep frequency response analysis for diagnosis of low level short circuit faults on the windings of power transformers: an experimental study”, Int J Electric Power Energy Syst, vol. 42(01), pp. 78-90, 2012.
10. Georgilakis P S., “Condition monitoring and assessment of power transformers using computational intelligence”, Int J Electric Power Energy Syst, vol. 33(10), pp. 1784-5,2011.
11. Geetha M, Jovitha J and Manikandan P, “Integrating Fuzzy IEC Expert System based Fault Diagnosis for Power Transformer Using Dissolved Gas Analysis”, Journal of Electrical Engineering, vol. 14, no. 2, pp. 348-354, 2014.