{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,28]],"date-time":"2026-04-28T19:13:53Z","timestamp":1777403633815,"version":"3.51.4"},"reference-count":28,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2022,11,21]],"date-time":"2022-11-21T00:00:00Z","timestamp":1668988800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Science and Technology Department of Henan Province","award":["222102220116"],"award-info":[{"award-number":["222102220116"]}]},{"name":"Science and Technology Department of Henan Province","award":["212102210017"],"award-info":[{"award-number":["212102210017"]}]},{"name":"Science and Technology Department of Henan Province","award":["222102210152"],"award-info":[{"award-number":["222102210152"]}]},{"name":"Science and Technology Department of Henan Province","award":["PXY-BSQD-2021019"],"award-info":[{"award-number":["PXY-BSQD-2021019"]}]},{"name":"High-level talent start-up fund of Pingdingshan University","award":["222102220116"],"award-info":[{"award-number":["222102220116"]}]},{"name":"High-level talent start-up fund of Pingdingshan University","award":["212102210017"],"award-info":[{"award-number":["212102210017"]}]},{"name":"High-level talent start-up fund of Pingdingshan University","award":["222102210152"],"award-info":[{"award-number":["222102210152"]}]},{"name":"High-level talent start-up fund of Pingdingshan University","award":["PXY-BSQD-2021019"],"award-info":[{"award-number":["PXY-BSQD-2021019"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Symmetry"],"abstract":"<jats:p>Partial discharge (PD) pattern recognition is a critical indicator for evaluating the insulation state of gas-insulated switchgear (GIS). Aiming at the disadvantage of traditional PD pattern recognition methods, such as single feature extraction and low recognition accuracy, a pattern recognition method of PD based on multi-feature information fusion is proposed in this paper. Firstly, a recognition model based on quasi-Hausdorff distance is established according to the statistical characteristics of the phase-resolved partial discharge (PRPD) image, and then a modified convolutional neural network recognition model is established according to the image features of the PRPD image. Finally, Dempster\u2013Shafer (D\u2013S) evidence theory is used to fuse the two pattern recognition results and complement the advantages of the two approaches to improve the accuracy of partial discharge pattern recognition. The experimental results show that the total recognition accuracy rate of this method for four typical PD is more than 94.00%, and the recognition rate is significantly improved compared to support vector machine and normal convolution neural network. Maintaining stability in typical bipedal robots is challenging due to two main reasons.<\/jats:p>","DOI":"10.3390\/sym14112464","type":"journal-article","created":{"date-parts":[[2022,11,22]],"date-time":"2022-11-22T03:04:20Z","timestamp":1669086260000},"page":"2464","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":21,"title":["GIS Partial Discharge Pattern Recognition Based on Multi-Feature Information Fusion of PRPD Image"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1718-9551","authenticated-orcid":false,"given":"Kaiyang","family":"Yin","sequence":"first","affiliation":[{"name":"School of Electrical and Mechanical Engineering, Pingdingshan University, Pingdingshan 467000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yanhui","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Electrical and Mechanical Engineering, Pingdingshan University, Pingdingshan 467000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shihai","family":"Liu","sequence":"additional","affiliation":[{"name":"Shanghai Huace Navigation Technology Ltd., Wuhan 430000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pengfei","family":"Li","sequence":"additional","affiliation":[{"name":"School of Electrical and Mechanical Engineering, Pingdingshan University, Pingdingshan 467000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yaxu","family":"Xue","sequence":"additional","affiliation":[{"name":"School of Electrical and Mechanical Engineering, Pingdingshan University, Pingdingshan 467000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Baozeng","family":"Li","sequence":"additional","affiliation":[{"name":"School of Electrical and Mechanical Engineering, Pingdingshan University, Pingdingshan 467000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kejie","family":"Dai","sequence":"additional","affiliation":[{"name":"School of Electrical and Mechanical Engineering, Pingdingshan University, Pingdingshan 467000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2022,11,21]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"2890","DOI":"10.1109\/TIM.2018.2867892","article-title":"A novel pd detection technique for use in gis based on a combination of uhf and optical sensors","volume":"68","author":"Han","year":"2018","journal-title":"IEEE Trans. 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