{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,9]],"date-time":"2026-04-09T06:12:10Z","timestamp":1775715130174,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":10,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,11,4]],"date-time":"2022-11-04T00:00:00Z","timestamp":1667520000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,11,4]]},"DOI":"10.1145\/3582935.3582980","type":"proceedings-article","created":{"date-parts":[[2023,4,10]],"date-time":"2023-04-10T22:18:52Z","timestamp":1681165132000},"page":"283-287","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["Research on Power Fault Inference Diagnosis Method based on Knowledge Mapping"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8437-7080","authenticated-orcid":false,"given":"Meiwei","family":"Hao","sequence":"first","affiliation":[{"name":"State Grid Tianjin Power Information and Telecommunications Company, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3273-1476","authenticated-orcid":false,"given":"Yang","family":"Yan","sequence":"additional","affiliation":[{"name":"State Grid Tianjin Power Information and Telecommunications Company, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1668-7615","authenticated-orcid":false,"given":"Jian","family":"Sun","sequence":"additional","affiliation":[{"name":"Beijing China-Power Information Technology Co., Ltd, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9085-2992","authenticated-orcid":false,"given":"Yongdi","family":"Bao","sequence":"additional","affiliation":[{"name":"State Grid Tianjin Power Information and Telecommunications Company, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8625-9640","authenticated-orcid":false,"given":"Linlin","family":"Shen","sequence":"additional","affiliation":[{"name":"State Grid Tianjin Power Information and Telecommunications Company, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4194-2956","authenticated-orcid":false,"given":"Senda","family":"Zhang","sequence":"additional","affiliation":[{"name":"Beijing China-Power Information Technology Co., Ltd, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5029-1753","authenticated-orcid":false,"given":"Junyi","family":"Xie","sequence":"additional","affiliation":[{"name":"Beijing China-Power Information Technology Co., Ltd, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2023,4,10]]},"reference":[{"issue":"9","key":"e_1_3_2_1_1_1","first-page":"5","article-title":"Deng, Equipment fault diagnosis technology based on knowledge graph[J]","volume":"30","author":"Zhao Q.","year":"2022","unstructured":"Y. L. Zhao , Q. Yu , B . Deng, Equipment fault diagnosis technology based on knowledge graph[J] . Electronic Design Engineering , 2022 , 30 ( 9 ): 5 . Y. L. Zhao, Q. Yu, B. Deng, Equipment fault diagnosis technology based on knowledge graph[J]. Electronic Design Engineering, 2022, 30(9):5.","journal-title":"Electronic Design Engineering"},{"key":"e_1_3_2_1_2_1","volume-title":"Kgrgrl: a user's permission reasoning method based on knowledge graph reward guidance reinforcement learning","author":"Zhang L.","year":"2022","unstructured":"Zhang , L. , Pan , Y. , Liu , Y. , Zheng , Q. , & Pan , Z. ( 2022 ). Kgrgrl: a user's permission reasoning method based on knowledge graph reward guidance reinforcement learning . Zhang, L., Pan, Y., Liu, Y., Zheng, Q., & Pan, Z. (2022). Kgrgrl: a user's permission reasoning method based on knowledge graph reward guidance reinforcement learning."},{"issue":"4","key":"e_1_3_2_1_3_1","first-page":"8","article-title":"A multi-relational knowledge graph inference algorithm based on representation learning[J]","volume":"39","author":"Yuan R.J.","year":"2022","unstructured":"P. Yuan , R.J. Wang . A multi-relational knowledge graph inference algorithm based on representation learning[J] . Microelectronics and Computers , 2022 , 39 ( 4 ): 8 . P. Yuan, R.J. Wang. A multi-relational knowledge graph inference algorithm based on representation learning[J]. Microelectronics and Computers, 2022, 39(4):8.","journal-title":"Microelectronics and Computers"},{"key":"e_1_3_2_1_4_1","first-page":"6","volume-title":"A knowledge graph entity disambiguation method based on entity-relationship embedding and graph structure embedding. Computational Intelligence and Neuroscience","author":"MaJiangtao","year":"2021","unstructured":"MaJiangtao , LiDuanyang, ChenYonggang , QiaoYaqiong, ZhuHaodong , & ZhangXuncai. ( 2021 ). A knowledge graph entity disambiguation method based on entity-relationship embedding and graph structure embedding. Computational Intelligence and Neuroscience . pp. 6 - 11 . MaJiangtao, LiDuanyang, ChenYonggang, QiaoYaqiong, ZhuHaodong, & ZhangXuncai. (2021). A knowledge graph entity disambiguation method based on entity-relationship embedding and graph structure embedding. Computational Intelligence and Neuroscience. pp.6-11."},{"issue":"2","key":"e_1_3_2_1_5_1","first-page":"8","article-title":"Sun, A knowledge and data fusion-driven approach to equipment fault diagnosis[J]","volume":"54","author":"Liu L. C.","year":"2022","unstructured":"J. Liu , L. C. Gao , Y. H . Sun, A knowledge and data fusion-driven approach to equipment fault diagnosis[J] . Journal of Zhengzhou University: Science Edition , 2022 , 54 ( 2 ): 8 . J. Liu, L. C. Gao, Y. H. Sun, A knowledge and data fusion-driven approach to equipment fault diagnosis[J]. Journal of Zhengzhou University: Science Edition, 2022, 54(2):8.","journal-title":"Journal of Zhengzhou University: Science Edition"},{"issue":"6","key":"e_1_3_2_1_6_1","first-page":"9","article-title":"Xu, Research on improved DDPG-based regulation knowledge mapping entity connection path inference method[J]","volume":"20","author":"Chen D.","year":"2022","unstructured":"S. Chen , D. Yan , H. F . Xu, Research on improved DDPG-based regulation knowledge mapping entity connection path inference method[J] . Power Information and Communication Technology , 2022 , 20 ( 6 ): 9 . S. Chen, D. Yan, H. F. Xu, Research on improved DDPG-based regulation knowledge mapping entity connection path inference method[J]. Power Information and Communication Technology, 2022, 20(6):9.","journal-title":"Power Information and Communication Technology"},{"key":"e_1_3_2_1_7_1","volume-title":"Detection and classification of transmission line transient faults based on graph convolutional neural network, 7(3), 16","author":"Tong H.","year":"2021","unstructured":"Tong , H. , Qiu , R. C. , Zhang , D. , Yang , H. , Ding , Q. , & Shi , X. ( 2021 ). Detection and classification of transmission line transient faults based on graph convolutional neural network, 7(3), 16 . Tong, H., Qiu, R. C., Zhang, D., Yang, H., Ding, Q., & Shi, X. (2021). Detection and classification of transmission line transient faults based on graph convolutional neural network, 7(3), 16."},{"key":"e_1_3_2_1_8_1","first-page":"1","volume-title":"Transg: a generative mixture model for knowledge graph embedding. computer science","author":"Han X.","year":"2015","unstructured":"Han , X. , Huang , M. , Yu , H. , & Zhu , X. ( 2015 ). Transg: a generative mixture model for knowledge graph embedding. computer science . pp. 1 - 2 . Han, X., Huang, M., Yu, H., & Zhu, X. (2015). Transg: a generative mixture model for knowledge graph embedding. computer science. pp.1-2."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCECE51280.2021.9342047"},{"key":"e_1_3_2_1_10_1","volume-title":"Fault-Tolerant Privacy-Preserving Data Aggregation for Smart Grid[J]. Wireless Communications and Mobile Computing","author":"Liu H","year":"2020","unstructured":"Liu H , Gu T , Liu Y , Fault-Tolerant Privacy-Preserving Data Aggregation for Smart Grid[J]. Wireless Communications and Mobile Computing , 2020 , 2020(2). Liu H, Gu T, Liu Y, Fault-Tolerant Privacy-Preserving Data Aggregation for Smart Grid[J]. Wireless Communications and Mobile Computing, 2020, 2020(2)."}],"event":{"name":"ICITEE 2022: 5th International Conference on Information Technologies and Electrical Engineering","location":"Changsha China","acronym":"ICITEE 2022"},"container-title":["Proceedings of the 5th International Conference on Information Technologies and Electrical Engineering"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3582935.3582980","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3582935.3582980","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T17:49:20Z","timestamp":1750182560000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3582935.3582980"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,11,4]]},"references-count":10,"alternative-id":["10.1145\/3582935.3582980","10.1145\/3582935"],"URL":"https:\/\/doi.org\/10.1145\/3582935.3582980","relation":{},"subject":[],"published":{"date-parts":[[2022,11,4]]},"assertion":[{"value":"2023-04-10","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}