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performance and identifying defect types in cable terminals of high-speed electric multiple units (EMUs). In this study, terminal samples exhibiting four typical defects were prepared from high-speed EMUs. A cable discharge testing system, utilizing high-frequency current sensing, was developed to collect discharge signals, and datasets corresponding to these defects were established. This study proposes the use of the convolutional neural network (CNN) for the classification of discharge signals associated with specific defects, comparing this method with two existing neural network (NN)-based classification models that employ the back-propagation NN and the radial basis function NN, respectively. The comparative results demonstrate that the CNN-based model excels in accurately identifying signals from various defect types in the cable terminals of high-speed EMUs, surpassing the two existing NN-based classification models.<\/jats:p>","DOI":"10.3390\/s24082660","type":"journal-article","created":{"date-parts":[[2024,4,22]],"date-time":"2024-04-22T09:53:52Z","timestamp":1713779632000},"page":"2660","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":18,"title":["Convolutional Neural Network-Based Pattern Recognition of Partial Discharge in High-Speed Electric-Multiple-Unit Cable Termination"],"prefix":"10.3390","volume":"24","author":[{"given":"Chuanming","family":"Sun","sequence":"first","affiliation":[{"name":"CRRC Qingdao Sifang Co., Ltd., Qingdao 266000, China"},{"name":"School of Electrical Engineering, Southwest Jiaotong University, Chengdu 611756, China"}]},{"given":"Guangning","family":"Wu","sequence":"additional","affiliation":[{"name":"School of Electrical Engineering, Southwest Jiaotong University, Chengdu 611756, China"}]},{"given":"Guixiang","family":"Pan","sequence":"additional","affiliation":[{"name":"CRRC Qingdao Sifang Co., Ltd., Qingdao 266000, China"}]},{"given":"Tingyu","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Electrical Engineering, Southwest Jiaotong University, Chengdu 611756, China"}]},{"given":"Jiali","family":"Li","sequence":"additional","affiliation":[{"name":"School of Electrical Engineering, Southwest Jiaotong University, Chengdu 611756, China"}]},{"given":"Shibo","family":"Jiao","sequence":"additional","affiliation":[{"name":"School of Electrical Engineering, Southwest Jiaotong University, Chengdu 611756, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3897-5327","authenticated-orcid":false,"given":"Yong-Chao","family":"Liu","sequence":"additional","affiliation":[{"name":"Energy Department, UTBM, Universit\u00e9 Bourgogne Franche-Comt\u00e9, 90010 Belfort, France"}]},{"given":"Kui","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Electrical Engineering, Southwest Jiaotong University, Chengdu 611756, China"}]},{"given":"Kai","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Electrical Engineering, Southwest Jiaotong University, Chengdu 611756, China"}]},{"given":"Dongli","family":"Xin","sequence":"additional","affiliation":[{"name":"School of Electrical Engineering, Southwest Jiaotong University, Chengdu 611756, China"}]},{"given":"Guoqiang","family":"Gao","sequence":"additional","affiliation":[{"name":"School of Electrical Engineering, Southwest Jiaotong University, Chengdu 611756, China"}]}],"member":"1968","published-online":{"date-parts":[[2024,4,22]]},"reference":[{"key":"ref_1","unstructured":"Xin, D., Wu, G., Chen, K., Liu, K., Xie, Y., Gao, G., Xiao, S., Tang, Y., Sun, C., and Lin, M. 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