Fault Diagnosis System of High Voltage Switch Cabinet Based on Multi-source Information Fusion

Author:

Qiao Yaxing,Chen Zhangyu,Le Hongxi,Gao Yiwen,Zhao Haoming,Ni Jingwen

Publisher

Springer Nature Singapore

Reference10 articles.

1. Li, Z.R., Wang, S.H.: Fault analysis of 10-kV switch cabinet. Electricity 24(1), 36–39 (2013)

2. Wang, L., Ning, W., Wang, L., et al.: Experimental investigation of partial discharge detection in medium-voltage switchgear based on ultra-high frequency sensor. In: International Conference on Electric Power Equipment-Switching Technology, pp. 1–4 (2014)

3. Cheng, J., Xiong, Y., Ai, L.: Fault diagnosis of wind turbine gearbox based on neighborhood QPSO and improved D-S evidence theory. Recent Adv. Comput. Sci. Commun. 13(2), 268–275 (2020)

4. Chen, L., Diao, L., Sang, J.: Weighted evidence combination rule based on evidence distance and uncertainty measure: an application in fault diagnosis. Math. Probl. Eng. 2018(1), 1–10 (2018)

5. Bi, Y.: The impact of diversity on the accuracy of evidential classifier ensembles. Int. J. Approximate Reasoning 53(4), 584–607 (2012)

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