References
- 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 https://doi.org/10.1049/ip-smt:20049029
- M. B. Ahmad and Z. B. Yaacod, "Dissolved gas analysis using expert system," in proc. conference of research and Development, 2002, pp.313-316
- 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 https://doi.org/10.1109/61.180341
- 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 https://doi.org/10.1109/61.956751
- 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
- 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
- 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
- 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 https://doi.org/10.1049/ip-smt:19970856
- 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
- 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 https://doi.org/10.1109/59.867146
- 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
- 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 https://doi.org/10.1109/61.584363
- 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 https://doi.org/10.1109/94.910437
- 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
- Utility Testing Laboratory 40 West Louise Avenue, P.O. BOX 65621, Salt Lake City, UT. 84165-0621
- 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
- L. Zadeh, Fuzzy Sets, Information and Control, New York: Academic Press, vol.8, pp. 338-353, 1965
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