1. Yang, X.H.: Research on Partial Discharge Pattern Recognition of Crosslinked Polyethylene Power Cable, pp. 47–51. Chongqing University (2002). (in Chinese)
2. Prabu, G.R., Chandrasekar, S.: Classification of single PD sources of HV transformer insulation faults using PRPD pattern features and ANN approach. Asian J. Res. Soc. Sci. Human. 6(8), 1935–1952 (2016)
3. Tang, J.: Feature extraction of partial discharge gray-scale images for identification based on multifractal spectrum using fluorescence fiber sensor. Opt. Eng. 53(5), 053102 (2014)
4. Xu, Y.C., Xia, H.T., Li, Z.H., Lu, M.: Partial discharge pattern recognition based on fractal features using dynamic mode decomposition. Proc. CSU-EPSA 31(12), 35–43 (2019). (in Chinese)
5. Gao, K., Tan, K.X., Li, F.Q., Wu, C.Q.: The use of moment features for recognition of partial discharges in generator stator winding models. Trans. China Electrotech. Soc. 04, 61–64 (2001). (in Chinese)