{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T04:59:34Z","timestamp":1750309174695,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":18,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,4,26]],"date-time":"2024-04-26T00:00:00Z","timestamp":1714089600000},"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":[[2024,4,26]]},"DOI":"10.1145\/3686081.3686101","type":"proceedings-article","created":{"date-parts":[[2024,11,18]],"date-time":"2024-11-18T20:38:38Z","timestamp":1731962318000},"page":"127-133","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Transformer Fault Early Warning Method Based on AAKR Algorithm"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-1414-7674","authenticated-orcid":false,"given":"Rongxu","family":"Hou","sequence":"first","affiliation":[{"name":"College of Information, Shenyang Institute of Engineering, Shenyang, Liaoning, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-7020-6824","authenticated-orcid":false,"given":"Yeshen","family":"He","sequence":"additional","affiliation":[{"name":"CHINA CRIDCOM CO.,LTD., Shenzhen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6390-2210","authenticated-orcid":false,"given":"Yiying","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Artificial Intelligence, Tianjin University of Science &amp; Technology, Tianjin, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1398-6345","authenticated-orcid":false,"given":"Zhenliu","family":"Zhou","sequence":"additional","affiliation":[{"name":"College of Information, Shenyang Institute of Engineering, Shenyang, Liaoning, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2997-0919","authenticated-orcid":false,"given":"Xueliang","family":"Wang","sequence":"additional","affiliation":[{"name":"CHINA CRIDCOM CO.,LTD., Shenzhen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8503-5856","authenticated-orcid":false,"given":"Ting","family":"Li","sequence":"additional","affiliation":[{"name":"CHINA CRIDCOM CO.,LTD., Shenzhen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2024,11,18]]},"reference":[{"key":"e_1_3_3_1_1_2","doi-asserted-by":"publisher","DOI":"10.27764\/d.cnki.ghbmz.2021.000079"},{"key":"e_1_3_3_1_2_2","doi-asserted-by":"publisher","DOI":"10.27322\/d.cnki.gsgyu.2021.000229"},{"key":"e_1_3_3_1_3_2","doi-asserted-by":"publisher","DOI":"10.27232\/d.cnki.gnchu.2022.002684"},{"key":"e_1_3_3_1_4_2","volume-title":"Research on on-line monitoring and fault diagnosis oftransformer based on DGA. Anhui","author":"L.","year":"2018","unstructured":"Ge, X. L. (2018) Research on on-line monitoring and fault diagnosis oftransformer based on DGA. Anhui."},{"key":"e_1_3_3_1_5_2","doi-asserted-by":"publisher","DOI":"10.1049\/ip-smt:20020638"},{"key":"e_1_3_3_1_6_2","doi-asserted-by":"publisher","DOI":"10.1109\/61.180341"},{"key":"e_1_3_3_1_7_2","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRD.2003.813605"},{"key":"e_1_3_3_1_8_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLC.2007.4370310"},{"key":"e_1_3_3_1_9_2","doi-asserted-by":"publisher","unstructured":"TIAN Feng-lan ZHANG En-ze PAN Si-rong et al. Fault diagnosis model of power transformers based on feature quantity optimization and ICA-SVM[J]. Power System Protection and Control 2019 47(17):163-170. DOI:10.19783\/j.cnki.pspc.181259. 10.19783\/j.cnki.pspc.181259","DOI":"10.19783\/j.cnki.pspc.181259"},{"key":"e_1_3_3_1_10_2","unstructured":"DENG Yan-shan ZHAO Kai-li LV Wen-chao et al. Fault Diagnosis of Power Transformers Based on Deep Neural Network[J]. Microcomputer Applications 2021 37(06):84-86+94. https:\/\/kns.cnki.net\/kcms2\/article\/abstract?v=DwbYnX8C4XO1-kclrobB2n4D0zJ8Oaeb5dsugOp5MnwOXROamFsVXDvYcEBvorlkItrr04B4oGO1UIc2QejFTHnKnx-YX3HvRehmTaakk1upsPj0vVPVlbjLY_AeR6PbgqKy1YxZbKk=&uniplatform=NZKPT&flag=copy"},{"key":"e_1_3_3_1_11_2","unstructured":"SUN Ye TANG Lin SU Bing et al. Research on Power Transformer Fault Recognition Based on Deep Learning Algorithm[J]. Microcomputer Applications 2021 37(12):74-77. https:\/\/kns.cnki.net\/kcms2\/article\/abstract?v=DwbYnX8C4XOKArmy5hCHiUUQO5r5Cobdj_bLOzqzcKG2FfRZclZpHqOxtQwbOQMLlTV_AevhdWb70XWwEt1Z327_MqzmTS3UIlm3JRSWYG_ze0_27c5qnlJFCFzLGCLKSZ0QDQlRzPI=&uniplatform=NZKPT&flag=copy"},{"key":"e_1_3_3_1_12_2","unstructured":"ZHANG Bo-hao LV Bing. Fault Diagnosis of Power Capacitor Based on ELM Optimized By lmproved Firefly Algorithm[J]. Microcomputer Applications 2019 35(05):107-110. https:\/\/kns.cnki.net\/kcms2\/article\/abstract?v=DwbYnX8C4XNXKMfEiDSH5iWu_1XtpNey8m7G3UfuAyHrh1xWR7aLwaUgsyXmJHS47J4XgqjItmgMucC3g5cfWlw5nYrT7PL3FiPV6r4P9yg70UH7dmxpu72taqnWlKrWNO2CAHvqENA=&uniplatform=NZKPT&flag=copy"},{"key":"e_1_3_3_1_13_2","doi-asserted-by":"publisher","unstructured":"ZHOU Xiao-hua FENG Yu-chen CHEN Lei et al. Transformer fault diagnosis based on SVM optimized by the improved bald eagle search algorithm[J]. Power System Protection and Control 2023 51(08):118-126. DOI:10.19783\/j.cnki.pspc.221236. 10.19783\/j.cnki.pspc.221236","DOI":"10.19783\/j.cnki.pspc.221236"},{"key":"e_1_3_3_1_14_2","unstructured":"LIU Zi-xuan. Analysis of transformer fault diagnosis based on BP neural network[J]. Lamps & Lighting 2023 179(04):129-131. https:\/\/kns.cnki.net\/kcms2\/article\/abstract?v=DwbYnX8C4XNjn7JJtPFXeaHYe8vg6LgTORRaJZMe1lTBTYMV9tYPOzeIq59vuz7bfow7N4Kb_JRjjv6ZFHCF-9O4AcSur1pSutkofzuTB6-mlauyLVDzTm0e2tS1Fo673pB-x3abyLE=&uniplatform=NZKPT&flag=copy"},{"key":"e_1_3_3_1_15_2","doi-asserted-by":"publisher","DOI":"10.13681\/j.cnki.cn41-1282"},{"key":"e_1_3_3_1_16_2","doi-asserted-by":"publisher","unstructured":"TIAN Wen-wen LV Li-xia FENG Xue-kai et al. Condition monitoring of wind turbine gearbox based on improved AAKR[J]. Electronic Measurement Technology 2022 45(15):158-165. DOI:10.19651\/j.cnki.emt.2209263. 10.19651\/j.cnki.emt.2209263","DOI":"10.19651\/j.cnki.emt.2209263"},{"key":"e_1_3_3_1_17_2","doi-asserted-by":"publisher","unstructured":"LI Gang QIU Chen-guang CAO Shuai et al. Early warning of equipment state based on robust state estimation[J]. Thermal Power Generation 2020 49(11):1-7. DOI:10.19666\/j.rlfd.202003074. 10.19666\/j.rlfd.202003074","DOI":"10.19666\/j.rlfd.202003074"},{"key":"e_1_3_3_1_18_2","doi-asserted-by":"publisher","unstructured":"LIU Shuang-bai ZHU Long-fei QIU Xiao-zhi et al. Study of Power Equipment Condition Early Warning Technology based on Weighted AAKR Algorithm[J]. Journal of Engineering for Thermal Energy and Power 2020 35(07):235-241. DOI:10.16146\/j.cnki.rndlgc.2020.07.033. 10.16146\/j.cnki.rndlgc.2020.07.033","DOI":"10.16146\/j.cnki.rndlgc.2020.07.033"}],"event":{"name":"ICDSM 2024: International Conference on Decision Science & Management","acronym":"ICDSM 2024","location":"Hong Kong China"},"container-title":["Proceedings of the International Conference on Decision Science &amp; Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3686081.3686101","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3686081.3686101","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T22:53:51Z","timestamp":1750287231000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3686081.3686101"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,4,26]]},"references-count":18,"alternative-id":["10.1145\/3686081.3686101","10.1145\/3686081"],"URL":"https:\/\/doi.org\/10.1145\/3686081.3686101","relation":{},"subject":[],"published":{"date-parts":[[2024,4,26]]},"assertion":[{"value":"2024-11-18","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}