JOURNAL BROWSE
Search
Advanced SearchSearch Tips
Improvement in Transformer Diagnosis by DGA using Fuzzy Logic
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
Improvement in Transformer Diagnosis by DGA using Fuzzy Logic
Dhote, Nitin K.; Helonde, J.B.;
  PDF(new window)
 Abstract
Power transformer is one of the most important equipments in electrical power system. The detection of certain gases generated in transformer is the first indication of a malfunction that may lead to failure if not detected. Dissolved gas analysis (DGA) of transformer oil has been one of the most reliable techniques to detect the incipient faults. Many conventional DGA methods have been developed to interpret DGA results obtained from gas chromatography. Although these methods are widely used in the world, they sometimes fail to diagnose, especially when DGA results falls outside conventional method codes or when more than one fault exist in transformer. To overcome these limitations, fuzzy inference system (FIS) is proposed. 250 different cases are used to test the accuracy of various DGA methods in interpreting the transformer condition.
 Keywords
DGA;Fault diagnosis;FIS;Ratio methods;Power transformer;
 Language
English
 Cited by
1.
차 영상을 통한 퍼지 추론 기반 열화 진단 시스템 설계,김종범;최우용;오성권;김영일;

한국지능시스템학회논문지, 2015. vol.25. 1, pp.57-62 crossref(new window)
2.
Application of Joint Electro-Chemical Detection for Gas Insulated Switchgear Fault Diagnosis,;;;

Journal of Electrical Engineering and Technology, 2015. vol.10. 4, pp.1765-1772 crossref(new window)
3.
적외선 열화상 카메라를 이용한 퍼지추론 기반 열화진단 시스템 개발,최우용;김종범;오성권;김영일;

전기학회논문지, 2015. vol.64. 6, pp.912-921 crossref(new window)
1.
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  crossref(new windwow)
2.
Diagnosis of Power Transformer Faults Based on Multi-layer Support Vector Machine Hybridized with Optimization Methods, Electric Power Components and Systems, 2016, 44, 19, 2172  crossref(new windwow)
3.
An Integrated Decision-Making Model for Transformer Condition Assessment Using Game Theory and Modified Evidence Combination Extended by D Numbers, Energies, 2016, 9, 9, 697  crossref(new windwow)
4.
Pattern recognition techniques for power transformer insulation diagnosis-a comparative study part 1: framework, literature, and illustration, International Transactions on Electrical Energy Systems, 2015, 25, 10, 2247  crossref(new windwow)
5.
Context-Awareness Healthcare for Disease Reasoning Based on Fuzzy Logic, Journal of Electrical Engineering and Technology, 2016, 11, 1, 247  crossref(new windwow)
 References
1.
Hohlein I, Unusual Cases of Gasing in Transformers in Service IEEE Electrical Insulation Magazine, Vol 22, No. 1, 2006, pp. 22-25.

2.
Mayoux C, On the Degradation of Insulating Materials Withstanding Electrical Stress, IEEE Transactions on Dielectrics and Electrical Insulation, Vol-7, Oct 2000, pp 1-20.

3.
I. Fofana, J. Sabau, D. Bussieres and E. B. Robertson, The Mechanism of Gassing in Power Transformers, IEEE conference on Dielectric Liquids, ICDL 2008, June 2008, pp. 1-4.

4.
Arakelian, V. G., Effective Diagnostic for Oil Filled Equipments, IEEE Electrical Insulation Magazine, Vol. 18, Issue 6, 2002, pp. 26-38. crossref(new window)

5.
Agah M, Lambertus G. R., Sacks R, Wise K, High Speed MEMS -Based Gas Chromatography, Journal Of Micro Electromechanical Systems, Volume-15, Issue 5, 2006, pp. 1371-1378. crossref(new window)

6.
Duval M, New Techniques for Dissolved gas-in-Oil Analysis, Electrical Insulation Magazine, IEEE, Volume 19, Issue 2, 2003, pp. 6-15.

7.
IEEE Guide for Interpretation of Gases Generated in Oil Immersed Transformer ANSI/IEEE, Standard C57. 104. TM 2008, Feb 2009.

8.
M. Duval, A. dePablo, Interpretation of gas in Oil Analysis Using New IEC Publication 60599 and IEC TC10 Databases, IEEE Electrical Insulation Magazine, Vol. 17, No. 2, April 2001, pp. 31-41.

9.
M. Duval, Dissolved Gas Analysis: It can Save Your Transformer, IEEE Electrical Insulation Magazine, Vol. 5, No. 6, Dec 1989, pp. 22-27.

10.
Mineral Oil -Impregnated Electrical Equipment in Service Guide to the interpretation of Dissolved and Free Gases Analysis, IEC Publication 60599, 2007.

11.
M Duval, J. Dukaram, Improving the Reliability of the Transformer, Gas-in-Oil Diagnosis, IEEE Electrical Insulation Magazine, Vol. 21, No. 4, July / Aug 2005, pp. 21-27. crossref(new window)

12.
Xiaohui Li, Hauren Wu and Danning Wu, DGA Interpretation Scheme Derived from Case Study, IEEE Transactions on Power Delivery, Vol 26, No. 2, April 2011, pp. 1292-1293. crossref(new window)

13.
C. E. Lin, J. M. Ling, and C. L. Huang, An expert system for transformer fault diagnosis and maintenance using dissolved gas analysis, IEEE Transactions on Power Delivery, vol. 8, no. 1, 1993, pp. 231-238.

14.
Hong-Tzer Yang, Chiung- Chou Liao, Adaptive Fuzzy Diagnosis System for Dissolved Gas Analysis of Power Transformers, IEEE Transactions on Power Delivery, Vol. 14, No. 4, Oct 1999, pp. 1342-1350.

15.
Guardada J. L., J. L. Nareda, P. Moreno, C. R. Fuerte, A Comparative Study of Neural Network Efficiency in Power Transformers Diagnosis using Dissolved Gas Analysis, IEEE Transactions on Power Delivery, Vol. 16, no. 4, Oct 2001 pp. 643-647. crossref(new window)

16.
Lin W. M., C. H. Lin, M. X, Tasy, Transformer - Fault Diagnosisby Integrating Field Data and Standard Codes with Training Enhancible Adaptive Pro-babilistic Network, IEEGeneration Transmission Distribution, Vol. 152, No. 3, 2005, pp. 335-341. crossref(new window)

17.
Huang Y. C., Evolving Neural Nets for Fault Diagnosis of Power Transformer, IEEE Transactions on Power Delivery, Vol. 18, No. 3, April 1997, pp. 843-848.

18.
R. Naresh, V. Sharma, M. Vashisth, An Integrated Neural Fuzzy App. roach for Fault Diagnosis of Transformers, IEEE Transactions on Power Delivery, Vol. 23, No. 4, Oct 2008, pp. 2017-2024. crossref(new window)

19.
Morais D. R., Rolim J. G., A Hybrid Tool for Detection of Incipient Faults in Transformers based on the Dissolved Gas Analysis of Insulating Oil, IEEE Transactions on Power Delivery, Vol. 21, No. 2, April 2006, pp. 673-680.

20.
Mathworks Ltd., Fuzzy Logic Toolbox, User's Guide.

21.
D Driankov, H Hellendoorn, M Reinfrank, An Introduction to Fuzzy Control (Narosa Publishing House, Delhi. India. 2001)

22.
George J. Klir, Tina A. Folger, Fuzzy Sets, Uncertainity and Information(PHI, elhi, India, 2008).

23.
IEEE Guide for Dissolved Gas Analysis in Transformer Load Tap Changers, IEEE Standard C57. 139-2010.