{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,14]],"date-time":"2026-07-14T19:43:39Z","timestamp":1784058219818,"version":"3.55.0"},"reference-count":33,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2022,4,1]],"date-time":"2022-04-01T00:00:00Z","timestamp":1648771200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,4,1]],"date-time":"2022-04-01T00:00:00Z","timestamp":1648771200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,4,1]],"date-time":"2022-04-01T00:00:00Z","timestamp":1648771200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62003301"],"award-info":[{"award-number":["62003301"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61833014"],"award-info":[{"award-number":["61833014"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"State Key Laboratory of Industrial Control Technology, Zhejiang University, China","award":["ICT2021A14"],"award-info":[{"award-number":["ICT2021A14"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Ind. Inf."],"published-print":{"date-parts":[[2022,4]]},"DOI":"10.1109\/tii.2021.3100284","type":"journal-article","created":{"date-parts":[[2021,7,27]],"date-time":"2021-07-27T20:45:10Z","timestamp":1627418710000},"page":"2518-2527","source":"Crossref","is-referenced-by-count":129,"title":["Imbalanced Sample Selection With Deep Reinforcement Learning for Fault Diagnosis"],"prefix":"10.1109","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2624-5212","authenticated-orcid":false,"given":"Saite","family":"Fan","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4761-3969","authenticated-orcid":false,"given":"Xinmin","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4098-6479","authenticated-orcid":false,"given":"Zhihuan","family":"Song","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref33","year":"0","journal-title":"Neural Networks and Learning Machines"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/BF00116251"},{"key":"ref31","article-title":"UCI machine learning repository","year":"0"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/BF00994018"},{"key":"ref10","doi-asserted-by":"crossref","first-page":"321","DOI":"10.1613\/jair.953","article-title":"Smote: Synthetic minority over-sampling technique","volume":"16","author":"chawla","year":"2011","journal-title":"J Artif Intell Res"},{"key":"ref11","first-page":"1322","article-title":"Adasyn: Adaptive synthetic sampling approach for imbalanced learning","author":"he","year":"0","journal-title":"Proc IEEE Int Joint Conf Neural Netw"},{"key":"ref12","first-page":"10","article-title":"Balancing training data for automated annotation of keywords: A case study","author":"batista","year":"0","journal-title":"WOB"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-019-0192-5"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/1015330.1015369"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2006.158"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2020.04.075"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.324"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/s13748-016-0094-0"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1023\/A:1022672621406"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1504\/IJKESDP.2011.039875"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1021\/acs.iecr.0c03932"},{"key":"ref27","first-page":"81","article-title":"Spectral clustering based on the graph p-Laplacian","author":"b\u00fchler","year":"0","journal-title":"Proc 26th Annu Int Conf Mach Learn"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.isatra.2021.02.040"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2020.3011069"},{"key":"ref29","doi-asserted-by":"crossref","first-page":"539","DOI":"10.1109\/TSMCB.2008.2007853","article-title":"Exploratory undersampling for class-imbalance learning","volume":"39","author":"liu","year":"2009","journal-title":"IEEE Trans Syst Man Cybern Part B"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2756872"},{"key":"ref8","doi-asserted-by":"crossref","first-page":"157","DOI":"10.1016\/j.jmsy.2018.01.006","article-title":"Data-driven smart manufacturing","volume":"48","author":"fei","year":"2018","journal-title":"J Manuf Syst"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2018.2798633"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2016.2571680"},{"key":"ref9","article-title":"kNN approach to unbalanced data distributions: A case study involving information extraction","year":"0","journal-title":"Proc Workshop Learn Imbalanced Datasets"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.compchemeng.2007.07.005"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2017.2755064"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2020.3046566"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.isatra.2021.02.042"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2021.01.099"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.chemolab.2016.02.014"},{"key":"ref26","author":"zill","year":"2020","journal-title":"Advanced Engineering Mathematics"},{"key":"ref25","article-title":"Auxiliary information guided industrial data augmentation for any-shot fault learning and diagnosis","year":"0","journal-title":"IEEE Trans Ind Informat"}],"container-title":["IEEE Transactions on Industrial Informatics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9424\/9670747\/09497679.pdf?arnumber=9497679","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,8]],"date-time":"2022-04-08T17:59:19Z","timestamp":1649440759000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9497679\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,4]]},"references-count":33,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/tii.2021.3100284","relation":{},"ISSN":["1551-3203","1941-0050"],"issn-type":[{"value":"1551-3203","type":"print"},{"value":"1941-0050","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,4]]}}}