{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T14:24:28Z","timestamp":1730298268939,"version":"3.28.0"},"reference-count":15,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,6,18]],"date-time":"2021-06-18T00:00:00Z","timestamp":1623974400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,6,18]],"date-time":"2021-06-18T00:00:00Z","timestamp":1623974400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,6,18]],"date-time":"2021-06-18T00:00:00Z","timestamp":1623974400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,6,18]]},"DOI":"10.1109\/spac53836.2021.9539976","type":"proceedings-article","created":{"date-parts":[[2021,9,27]],"date-time":"2021-09-27T18:13:55Z","timestamp":1632766435000},"page":"228-233","source":"Crossref","is-referenced-by-count":0,"title":["Design and Research of Transformer Fault Diagnosis Method Based on Data-driven"],"prefix":"10.1109","author":[{"given":"Wang","family":"Shoupeng","sequence":"first","affiliation":[]},{"given":"Liu","family":"Yajuan","sequence":"additional","affiliation":[]},{"given":"Yuan","family":"Jingzhong","sequence":"additional","affiliation":[]},{"given":"Jiang","family":"Yu","sequence":"additional","affiliation":[]},{"given":"Fang","family":"Fang","sequence":"additional","affiliation":[]},{"given":"Zhang","family":"Libin'","sequence":"additional","affiliation":[]},{"given":"Gao","family":"Yang","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TDEI.2011.5739454"},{"key":"ref11","first-page":"118","article-title":"Application of hybrid neural network in transformer fault diagnosis[J]","volume":"31","author":"fei","year":"2017","journal-title":"Journal of Electronic Measurement and Instrument"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TDEI.2012.6148524"},{"key":"ref13","first-page":"1","volume":"9","author":"zheng","year":"2017","journal-title":"Proficient in MATLAB intelligent algorithm [M]"},{"key":"ref14","first-page":"21","author":"feng","year":"2011","journal-title":"30 Case Analysis of MAT LAB Neural Network [M]"},{"key":"ref15","first-page":"117","article-title":"Transformer Fault Diagnosis and Application Based on Oil Chromatographic Analysis[J]","volume":"30","author":"rongbin","year":"2017","journal-title":"Guangdong Electric Power"},{"key":"ref4","first-page":"1","article-title":"Overview of fault diagnosis methods based on data-driven [J]","volume":"26","author":"han","year":"2011","journal-title":"Control and Decision"},{"key":"ref3","article-title":"Research on fault diagnosis of oil-immersed transformer based on support vector machine[D]","author":"dingjian","year":"2012","journal-title":"Changsha University of Science and Technology"},{"key":"ref6","first-page":"1018","article-title":"Fault diagnosis of power transformers based on rule base optimized by genetic algorithm [J]","volume":"44","author":"liping","year":"2013","journal-title":"Journal of Central South University (Science and Technology)"},{"key":"ref5","doi-asserted-by":"crossref","first-page":"3395","DOI":"10.1109\/TKDE.2016.2606428","article-title":"Towards Bayesian deep learning: a framework and some existing methods [J]","volume":"28","author":"hao","year":"2016","journal-title":"IEEE Transactions on Knowledge and Data Engineering"},{"key":"ref8","first-page":"47","article-title":"Fault diagnosis simulation system based on PCA and BP neural network[J]","author":"xingtong","year":"2015","journal-title":"Automation and Instrumentation"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1088\/1757-899X\/715\/1\/012032"},{"key":"ref2","article-title":"Design of on-line monitoring and fault diagnosis system for intelligent substation transformers [D]","author":"yongjun","year":"2017","journal-title":"Southwest Jiaotong University"},{"key":"ref1","first-page":"177","article-title":"Transformer fault diagnosis method based on deep convolutional neural network[J]","volume":"32","author":"feng","year":"2019","journal-title":"Guangdong Electric Power"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1002\/wcm.1246"}],"event":{"name":"2021 International Conference on Security, Pattern Analysis, and Cybernetics\uff08SPAC\uff09","start":{"date-parts":[[2021,6,18]]},"location":"Chengdu, China","end":{"date-parts":[[2021,6,20]]}},"container-title":["2021 International Conference on Security, Pattern Analysis, and Cybernetics\uff08SPAC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9539245\/9539895\/09539976.pdf?arnumber=9539976","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T11:46:06Z","timestamp":1652183166000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9539976\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,6,18]]},"references-count":15,"URL":"https:\/\/doi.org\/10.1109\/spac53836.2021.9539976","relation":{},"subject":[],"published":{"date-parts":[[2021,6,18]]}}}