{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T00:36:06Z","timestamp":1730248566519,"version":"3.28.0"},"reference-count":21,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,2]]},"DOI":"10.1109\/icit.2018.8352354","type":"proceedings-article","created":{"date-parts":[[2018,5,4]],"date-time":"2018-05-04T13:34:26Z","timestamp":1525440866000},"page":"1232-1235","source":"Crossref","is-referenced-by-count":4,"title":["Fault diagnosis of transformer based on KPCA and Elman neural network"],"prefix":"10.1109","author":[{"given":"Jun","family":"Lin","sequence":"first","affiliation":[]},{"given":"Gehao","family":"Sheng","sequence":"additional","affiliation":[]},{"given":"Yuhao","family":"Gao","sequence":"additional","affiliation":[]},{"given":"Yingjie","family":"Yan","sequence":"additional","affiliation":[]},{"given":"Xiuchen","family":"Jiang","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","first-page":"76","article-title":"Bayesian networks based distributed fault diagnosis approach for power grid[J]","volume":"34","author":"shu","year":"2010","journal-title":"Power System Technology"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/IFSA-NAFIPS.2013.6608627"},{"key":"ref12","first-page":"1032","article-title":"Condition assessment for power transformers by Bayes network[J]","volume":"34","author":"wenqing","year":"2008","journal-title":"High Voltage Engineering"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2014.2302456"},{"key":"ref14","first-page":"82","article-title":"Association rule analysis on confidence of features for transformer faults[J]","volume":"38","author":"yuanbin","year":"2012","journal-title":"High Voltage Engineering"},{"key":"ref15","first-page":"106","article-title":"Fuzzy synthetic evaluation of power transformer condtion with variable weights[J]","volume":"33","author":"sijia","year":"2007","journal-title":"High Voltage Engineering"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRD.2011.2136441"},{"key":"ref17","doi-asserted-by":"crossref","first-page":"644","DOI":"10.1109\/TNNLS.2012.2185950","article-title":"Tangent hyperplane kernel principal component analysis for denoising[J]","volume":"23","author":"im","year":"2012","journal-title":"IEEE Transactions on Neural Networks and Learning Systems"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2012.2214234"},{"key":"ref19","first-page":"53","article-title":"Speed-sensorless control using Elman neural network[J]","volume":"12","author":"qingguo","year":"2001","journal-title":"Journal of Systems Engineering and Electronics"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRD.2009.2028800"},{"key":"ref3","doi-asserted-by":"crossref","first-page":"930","DOI":"10.1109\/TPWRD.2007.893182","article-title":"Artificial immune network classification algorithm for fault diagnosis of power transformer[J]","volume":"22","author":"xiong","year":"2007","journal-title":"IEEE Trans on Power Delivery"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2005.846074"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/61.544265"},{"key":"ref8","first-page":"74","article-title":"Fault diagnosis for power transformer based on BN and DGA[J]","volume":"19","author":"yongqiang","year":"2004","journal-title":"Transaction of China Electro technical Society"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRD.2012.2188143"},{"key":"ref2","first-page":"2964","article-title":"Transformer fault diagnosis method based on relative reconstruction-based contribution[J]","volume":"38","author":"yongbo","year":"2012","journal-title":"High Voltage Engineering"},{"key":"ref1","first-page":"52","article-title":"An Method for Anomaly Detection of State Information of Power Equipment Based on Big Data Analysis[J]","volume":"35","author":"yingjie","year":"2015","journal-title":"Proceedings of the CSEE"},{"key":"ref9","first-page":"330","article-title":"The integrated transformer fault diagnosis based on three layers Bayesian network[J]","volume":"39","author":"cuifen","year":"2013","journal-title":"High Voltage Engineering"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2012.2193854"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2012.2230638"}],"event":{"name":"2018 IEEE International Conference on Industrial Technology (ICIT)","start":{"date-parts":[[2018,2,20]]},"location":"Lyon","end":{"date-parts":[[2018,2,22]]}},"container-title":["2018 IEEE International Conference on Industrial Technology (ICIT)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8342303\/8352140\/08352354.pdf?arnumber=8352354","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2018,6,1]],"date-time":"2018-06-01T15:00:28Z","timestamp":1527865228000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8352354\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,2]]},"references-count":21,"URL":"https:\/\/doi.org\/10.1109\/icit.2018.8352354","relation":{},"subject":[],"published":{"date-parts":[[2018,2]]}}}