Stage Recognition of Surface Discharge in Oil-Impregnated Paper Based on Convolutional Neural Network

Author:

Zhou Yuanxiang,Chen Jianning,Li Yongyin

Publisher

Springer Nature Singapore

Reference11 articles.

1. Raymond WJK, Illias HA, Mokhlis H (2015) Partial discharge classifications: review of recent progress. Measurement 68:164–181

2. Liu Y, Dong M, Xing Y, Hu Y, Xi Y, Ren M et al (2023) Development law and stage characteristics of multi-physical signals of surface discharge in oil-paper insulation. Proc CSEE 43(04):1611–1622 (in Chinese)

3. Li X, Li J, Jiang T, Wang Y, Huang Z (2018) Analysis of surface discharges on oil-impregnated pressboard under combined AC and DC voltages. IEEE Trans Dielectr Electr Insul 25(6):2380–2388

4. Zhou Y, Zhou Z, Sha Y, Huang X, Nie H, Zeng X (2018) Assessment of stages of partial discharge process of typical oil-paper insulation defect under combined AC-DC voltage. Adv Technol Electr Eng Energy 37(06):50–57 (in Chinese)

5. Li G, Wang K, Zhang S, Zhao Z, Li J, Cheng H et al (2018) Evolution characteristics and stage recognition method of surface discharge defects of oil-paper insulation in transformer. Power Syst Technol 42(10):3451–3458 (in Chinese)

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