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Intuitionistic Fuzzy Expert System based Fault Diagnosis using Dissolved Gas Analysis for Power Transformer
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 Title & Authors
Intuitionistic Fuzzy Expert System based Fault Diagnosis using Dissolved Gas Analysis for Power Transformer
Mani, Geetha; Jerome, Jovitha;
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 Abstract
In transformer fault diagnosis, dissolved gas analysis (DGA) is been widely employed for a long period and numerous methods have been innovated to interpret its results. Still in some cases it fails to identify the corresponding faults. Due to the limitation of training data and non-linearity, the estimation of key-gas ratio in the transformer oil becomes more complicated. This paper presents Intuitionistic Fuzzy expert System (IFS) to diagnose several faults in a transformer. This revised approach is well suitable to diagnosis the transformer faults and the corresponding action to be taken. The proposed method is applied to an independent data of different power transformers and various case studies of historic trends of transformer units. It has been proved to be a very advantageous tool for transformer diagnosis and upkeep planning. This method has been successfully used to identify the type of fault developing within a transformer even if there is conflict in the results of AI technique applied to DGA data.
 Keywords
Power transformer;DGA;IFS;IEC gas ratio;Fault diagnosis;
 Language
English
 Cited by
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Identification of Shearer Cutting Patterns Using Vibration Signals Based on a Least Squares Support Vector Machine with an Improved Fruit Fly Optimization Algorithm, Sensors, 2016, 16, 1, 90  crossref(new windwow)
2.
Research on multi-attribute decision-making in condition evaluation for power transformer using fuzzy AHP and modified weighted averaging combination , IET Generation, Transmission & Distribution, 2016, 10, 15, 3855  crossref(new windwow)
 References
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. crossref(new window)

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 and management, 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. crossref(new window)

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. crossref(new window)

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.