JOURNAL BROWSE
Search
Advanced SearchSearch Tips
Fuzzy Logic Application in Fault Diagnosis of Transformers Using Dissolved Gases
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
Fuzzy Logic Application in Fault Diagnosis of Transformers Using Dissolved Gases
Hooshmand, Rahmat-Allah; Banejad, Mahdi;
  PDF(new window)
 Abstract
One of the problems with the fault diagnosis of transformers based on dissolved gas is the inability to match the result of the different standards of fault diagnosis with real world standards. In this paper, the results of the different standards are analyzed using fuzzy logic and then compared with the empirical test. The proposed method is based on the standards and guidelines of the International Electrotechnical Commission (IEC), the Central Electric Generating Board (CEGB), and the American Society for Testing and Material (ASTM) and its main task is to assist the conventional gas ratio method. The comparison between the suggested method and existing methods indicates the capability of the suggested method in the on-line fault diagnosis of transformers. In addition, in some cases the existing standards are not able to diagnose the fault. For theses instances, the presented method has the potential of diagnosing the fault. In this paper, the information of three real transformers is used to show the capability of the suggested method in diagnosing the fault. The results validate the capability of the presented method in fault diagnosis of the transformer.
 Keywords
Dissolved gas;Fault diagnosis of transformer;Fuzzy logic;
 Language
English
 Cited by
1.
Electrical Properties of Lead-free$(1-x)(Na_{0.5}K_{0.5})NbO_{3}-xBa(Zr_{0.52}Ti_{0.48})O_{3}$Ceramics,;;;;;

Electronic Materials Letters, 2011. vol.7. 3, pp.201-204 crossref(new window)
2.
Electrical Properties of Lead-Free $0.98(Na_{0.5}K_{0.5}Li_{0.1})NbO_{3}-0.02Ba(Zr_{0.52}Ti_{0.48})O_{3}$ Ceramics by Sintering Temperature,;;;

Electronic Materials Letters, 2012. vol.8. 3, pp.289-293 crossref(new window)
3.
Ferroelectric and Piezoelectric Properties of Lead-Free $(0.98Na_{0.5}K_{0.5})NbO_3-0.02Ba(Zr_{0.52}Ti_{0.48})O_3$ Ceramics with Various Sintering Temperatures,;;;;;

Electronic Materials Letters, 2012. vol.8. 2, pp.147-150 crossref(new window)
4.
Electrical Properties of Lead-free $0.98(Na_{0.5)}K_{0.5}Li_{x})NbO_{3}-0.02Ba(Zr_{0.52}Ti_{0.48})O_{3}$ Ceramics,;;;;;;

Electronic Materials Letters, 2012. vol.8. 1, pp.43-45 crossref(new window)
5.
Dielectric and Piezoelectric Properties of $0.95(Na_{0.5}K_{0.5})NbO_3-0.05CaTiO_3$ Ceramics with $Ag_2O$ Contents,;;;;;;;;;

Electronic Materials Letters, 2012. vol.8. 6, pp.577-580 crossref(new window)
6.
Effect of Sintering Temperatures on the Piezoelectric and Dielectric Properties of $0.98(Na_{0.5}K_{0.5})NbO_3-0.02(Ba_{0.5}Ca_{0.5})TiO_3$ Ceramics,;;;;;;;

Electronic Materials Letters, 2013. vol.9. 2, pp.237-240 crossref(new window)
7.
Effect of sintering temperatures on electrical properties of $0.95(Na_{0.5}K_{0.5})NbO_3-0.05(Ba_{0.5}Sr_{0.5})(Ti_{0.95}Sn_{0.05})O_3$ lead-free ceramics,;;;;;;;;

Journal of Ceramic Processing Research, 2014. vol.15. 1, pp.26-29
1.
Dielectric and piezoelectric properties of 0.95(Na0.5K0.5)NbO3-0.05CaTiO3 ceramics with Ag2O contents, Electronic Materials Letters, 2012, 8, 6, 577  crossref(new windwow)
2.
Adaptive neuro-fuzzy inference system approach for simultaneous diagnosis of the type and location of faults in power transformers, IEEE Electrical Insulation Magazine, 2012, 28, 5, 32  crossref(new windwow)
3.
A new approach of DGA interpretation technique for transformer fault diagnosis, International Journal of Electrical Power & Energy Systems, 2016, 81, 265  crossref(new windwow)
4.
Electrical properties of lead-free (1-x)(Na0.5K0.5)NbO3-xBa(Zr0.52Ti0.48)O3ceramics, Electronic Materials Letters, 2011, 7, 3, 201  crossref(new windwow)
5.
Integrated ANN-based proactive fault diagnostic scheme for power transformers using dissolved gas analysis, IEEE Transactions on Dielectrics and Electrical Insulation, 2016, 23, 3, 1838  crossref(new windwow)
6.
Piezoelectric and dielectric properties of 0.98(Na0.5K0.5)NbO3–0.02Ba(ZrxTi(1−x))O3 ceramics, Materials Research Bulletin, 2012, 47, 10, 2863  crossref(new windwow)
7.
Effect of sintering temperatures on the piezoelectric and dielectric properties of 0.98(Na0.5K0.5)NbO3-0.02(Ba0.5Ca0.5)TiO3 ceramics, Electronic Materials Letters, 2013, 9, 2, 237  crossref(new windwow)
8.
Electrical properties of lead-free 0.98(Na0.5K0.5Li0.1)NbO3-0.02Ba(Zr0.52Ti0.48)O3 ceramics by sintering temperature, Electronic Materials Letters, 2012, 8, 3, 289  crossref(new windwow)
9.
Ferroelectric and piezoelectric properties of lead-free 0.98(Na0.5K0.5)NbO3-0.02Ba(Zr0.52Ti0.48)O3 ceramics with various sintering temperatures, Electronic Materials Letters, 2012, 8, 2, 147  crossref(new windwow)
10.
Piezoelectric Properties of ZnO-Doped 0.98(Na0.5K0.5)NbO3-0.02Ba(Zr0.52Ta0.48)O3Ceramics, Integrated Ferroelectrics, 2012, 140, 1, 140  crossref(new windwow)
11.
Electrical properties of lead-free 0.98(Na0.5K0.5Lix)NbO3-0.02Ba(Zr0.52Ti0.48)O3 ceramics, Electronic Materials Letters, 2012, 8, 1, 43  crossref(new windwow)
12.
Multi-field Coupling Simulation and Experimental Study on Transformer Vibration Caused by DC Bias, Journal of Electrical Engineering and Technology, 2015, 10, 1, 176  crossref(new windwow)
13.
Electrical and Structural Properties of 0.98(Na0.5K0.5)NbO3–0.02Ba(Zr0.52Ti0.48)O3Ceramics with CuO Content, Japanese Journal of Applied Physics, 2012, 51, 7R, 075802  crossref(new windwow)
 References
1.
K. Spurgeon, W. H. Tang,, Z. J. Richardson, and G. Moss, "Dissolved gas analysis using evidential reasoning," IEE Proc.-Sci. Meas. Technol., vol.152, no.3, 2005, pp. 110-117 crossref(new window)

2.
M. B. Ahmad and Z. B. Yaacod, "Dissolved gas analysis using expert system," in proc. conference of research and Development, 2002, pp.313-316

3.
C. E. Lin, J. M. Ling, and C. L. Huang, "An expert system for transformer fault diagnosis using dissolved gas analysis," IEEE Trans. on Power Delivery, vol.8, no.1, pp.231-238, Jan. 1993 crossref(new window)

4.
J. L. Guardado and J. L. Naredo, "A comparative study of neural network efficiency in power transformers diagnosis using dissolved gas analysis," IEEE Trans. on Power Delivery, vol. 16, no.4, pp. 643-647, Oct. 2001 crossref(new window)

5.
T. Yanming and Q. Zheng, "DGA based insulation diagnosis of power transformer via ANN," Proceeding of the 6th International Conference on Properties and Applications of Dielectric Materials, 2001

6.
W. P. Hu, X. G. Yin, Z. Zhang, and D. S. Chen, "Fault diagnosis of transformer insulation based on compensated fuzzy neural network," Annual Report Conference on Electrical Insulation and Dielectric Phenomena, pp.273-276, Oct. 2003

7.
I. N. Dasilva, M. M. Imamura, and A. N. Desouza, "The application of neural networks to the analysis of dissolved gases in insulating oil used in transformers," IEEE International Conference on Systems, Man, and Cybernetics, 2000, vol.4, 2000, pp.2643-2648

8.
W. Xu, D. Wang, Z. Zhou, and H. Chen, "Fault diagnosis of power transformers: application of fuzzy set theory, expert systems and artificial neural networks, dissolved gas analysis using expert system," IEE Proc.-Sci. Meas. Technol., vol.144, no.1, 1997, pp.39-44 crossref(new window)

9.
M. Dong, D. K. Xu, M. H. Li, and Z. Yan, "Fault diagnosis model for power transformer based on statistical learning theory and dissolved gas analysis," in proc. Conference of 2004 IEEE International Symposium of Electrical Insulation, 2004, pp.85-88

10.
C. Mi, L. L. Lai, P. Austin, "A Fuzzy dissolved gas analysis method for the diagnosis of multiple incipient faults in a transformer," IEEE Trans. on Power Systems, vol.15, no.2, pp.593-598, May 2000 crossref(new window)

11.
G. Zhang, S. Ibuka, and K. Yasuoka, "Application of fuzzy data processing for fault diagnosis of power transformers," Proceeding of IEE Conference Publication, High Voltage Engineering Symposium, no. 467, 1999, pp. 22-27

12.
Y. C. Huang, H. T. Yang, and C. L. Huang, "Developing a new transformer fault diagnosis system through evolutionary fuzzy logic," IEEE Trans. on Power Delivery, vol.12, no.2, pp.761-767, April 1997 crossref(new window)

13.
H. T. Yang, , C. C. Liao, and J. H. Chou, "Fuzzy learning vector quantization networks for power transformer condition assessment," IEEE Trans. on Dielectrics and Electrical Insulation, vol.8, no.1, pp.143-149, 2001 crossref(new window)

14.
Y. Wang, R. Liao, C. Sun, L. Du, and J. Hu, "A GAbased grey prediction model for predicting the gas-inoil concentrations in oil-filled transformers," in Proceeding Conference of 2004 IEEE International Symposium of Electrical Insulation, 2004, pp.74-77

15.
Utility Testing Laboratory 40 West Louise Avenue, P.O. BOX 65621, Salt Lake City, UT. 84165-0621

16.
J. Yang, and et. al, "Belief network classifier for evaluation of DGA data of transformers," Conference Record of the 2004 IEEE, International Symposium of Electrical Insulation, 2004, pp.78-80

17.
L. Zadeh, Fuzzy Sets, Information and Control, New York: Academic Press, vol.8, pp. 338-353, 1965