Modeling and Application of Transformer Degradation Development Law Based on Degradation Track

Author:

Shan Jing,Liu Mengjun,Ji Xiaoyi,Cheng Yangchun

Publisher

Springer Nature Singapore

Reference14 articles.

1. Jiang XC, Sheng GH (2018) Research and application of big data analysis of power equipment condition. High Voltage Engineering 44(04):1041–1050 (in Chinese)

2. Rajesh KNVPS, Rao UM, Fofana I et al (2023) Influence of data balancing on transformer DGA fault classification with machine learning algorithms. IEEE Trans Dielectr Electr Insul 30(1):385–392

3. Wang HW, Teng KN (2017) Review of reliability evaluation technology based on accelerated degradation data. Systems Engineering and Electronics 39(12):2877–2885 (in Chinese)

4. Gao JY, Qing C (2022) Research on the reliability of drum screen filter drive pinion gear in nuclear power plant based on fault physics. Nucl Sci Eng 42(06):1312–1316 (in Chinese)

5. Jing B, Cui ZB, Sun HD et al (2022) Online life prediction of the fuel pump based on fault physics and data-driven fusion. Chinese Journal of Scientific Instrument 43(03):68–76 (in Chinese)

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