An Intelligent Fault Diagnosis Method for Oil-Immersed Power Transformer Based on Adaptive Genetic Algorithm

Author:

Li Youwen,Bao Demei,Luo Cun,Huang Lijun,Cao Liming

Publisher

Springer Berlin Heidelberg

Reference13 articles.

1. Cai, X., Rui, J.: On-line detection of gases dissolved in transformer oil and the faults diagnosis. In: 30th Symposium on Electrical Insulation Materials, pp. 1109–1112 (1998)

2. Surya, K.M., Ravindranath, R.B., Singh., B.P.: Transformer fault diagnosis using fuzzy logic and neural network. In: Annual Report Conference on Electrical Insulation and Dielectric Phenomena, CEIDP 2005, pp. 486–489 (2005)

3. Li, J., Sun, C., Liao, R., Zhou, Q.: Study on Analysis Method About Fault diagnosis of Transformer and Degree of Grey Incidence Based on Fuzzy Clustering. Chinese Journal of Scientific Instrument 25(5), 587–589 (2004)

4. Dong, M., Yan, Z., Taniguchi, Y.: Fault diagnosis of Power transformer based on modeling-diagnosis with grey relation. In: Proceeding of the 7th International Conference on Properties and Applications of Dielectric Materials, Nagoya, vol. 3, pp. 1158–1161 (2003)

5. Lv, G.-Y., Cheng, H.-Z., Zhai, H.-B., Dong, L.-X.: Fauit Diagnosis Of Power Transformer Based On Improved Grey Relation Analysis. Proceedings of The Chinese Society For Electrical Engineering 24(10), 121–126 (2004)

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1. Power Transformer Fault Diagnosis Method Based on Genetic Algorithm Optimized Random Forest;2023 Global Reliability and Prognostics and Health Management Conference (PHM-Hangzhou);2023-10-12

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