{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,27]],"date-time":"2026-05-27T14:15:30Z","timestamp":1779891330668,"version":"3.53.1"},"reference-count":33,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"8","license":[{"start":{"date-parts":[[2025,8,1]],"date-time":"2025-08-01T00:00:00Z","timestamp":1754006400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,8,1]],"date-time":"2025-08-01T00:00:00Z","timestamp":1754006400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,8,1]],"date-time":"2025-08-01T00:00:00Z","timestamp":1754006400000},"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":["U21B2024"],"award-info":[{"award-number":["U21B2024"]}],"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":["62272337"],"award-info":[{"award-number":["62272337"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Neural Netw. Learning Syst."],"published-print":{"date-parts":[[2025,8]]},"DOI":"10.1109\/tnnls.2024.3513329","type":"journal-article","created":{"date-parts":[[2024,12,16]],"date-time":"2024-12-16T14:26:54Z","timestamp":1734359214000},"page":"13968-13982","source":"Crossref","is-referenced-by-count":7,"title":["Causal Disentanglement-Based Hidden Markov Model for Cross-Domain Bearing Fault Diagnosis"],"prefix":"10.1109","volume":"36","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5384-0212","authenticated-orcid":false,"given":"Rihao","family":"Chang","sequence":"first","affiliation":[{"name":"School of Microelectronics, Tianjin University, Tianjin, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6240-5749","authenticated-orcid":false,"given":"Yongtao","family":"Ma","sequence":"additional","affiliation":[{"name":"School of Microelectronics, Tianjin University, Tianjin, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0578-8138","authenticated-orcid":false,"given":"Weizhi","family":"Nie","sequence":"additional","affiliation":[{"name":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4952-7666","authenticated-orcid":false,"given":"Jie","family":"Nie","sequence":"additional","affiliation":[{"name":"School of Information Science and Engineering, Ocean University of China, Qingdao, Shandong, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-8225-3502","authenticated-orcid":false,"given":"Yiqun","family":"Zhu","sequence":"additional","affiliation":[{"name":"State Grid Tianjin Electric Power Company, Tianjin, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5755-9145","authenticated-orcid":false,"given":"An-An","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3390\/a15100347"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.3901\/JME.2020.17.091"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.3390\/pr10040724"},{"key":"ref4","article-title":"Research on fault diagnosis method of rolling bearing based on vibration signal processing","author":"Wang","year":"2017"},{"key":"ref5","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1016\/j.arcontrol.2016.09.008","article-title":"Bridging data-driven and model-based approaches for process fault diagnosis and health monitoring: A review of researches and future challenges","volume":"42","author":"Khaoula","year":"2016","journal-title":"Ann. Rev. Control"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/0169-7439(87)80084-9"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/0003-2670(86)80028-9"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1162\/0899766042321814"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/0165-1684(94)90029-9"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2017.2774777"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2018.2844805"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.compind.2019.01.012"},{"key":"ref13","article-title":"Deep domain confusion: Maximizing for domain invariance","author":"Tzeng","year":"2014","journal-title":"arXiv:1412.3474"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-49409-8_35"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.5555\/2946645.2946704"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2018.2877090"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2022.3141783"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.triboint.2015.12.037"},{"key":"ref19","first-page":"4114","article-title":"Challenging common assumptions in the unsupervised learning of disentangled representations","volume-title":"Proc. Int. Conf. Mach. Learn. (ICML)","author":"Locatello"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v30i1.10306"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511803161"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1137\/0515056"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01193"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1312.6114"},{"key":"ref26","article-title":"Empirical evaluation of gated recurrent neural networks on sequence modeling","author":"Chung","year":"2014","journal-title":"arXiv:1412.3555"},{"issue":"1","key":"ref27","first-page":"723","article-title":"A kernel two-sample test","volume":"13","author":"Gretton","year":"2012","journal-title":"J. Mach. Learn. Res."},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2015.04.021"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.jsv.2005.03.007"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.36001\/phme.2016.v3i1.1577"},{"key":"ref31","article-title":"Adam: A method for stochastic optimization","author":"Kingma","year":"2014","journal-title":"arXiv:1412.6980"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2022.10.057"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6501\/ac7eb0"}],"container-title":["IEEE Transactions on Neural Networks and Learning Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/5962385\/11114436\/10803092.pdf?arnumber=10803092","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,8]],"date-time":"2025-12-08T18:41:24Z","timestamp":1765219284000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10803092\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,8]]},"references-count":33,"journal-issue":{"issue":"8"},"URL":"https:\/\/doi.org\/10.1109\/tnnls.2024.3513329","relation":{},"ISSN":["2162-237X","2162-2388"],"issn-type":[{"value":"2162-237X","type":"print"},{"value":"2162-2388","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,8]]}}}