{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,18]],"date-time":"2026-08-18T00:09:52Z","timestamp":1787011792909,"version":"build-2736575974"},"reference-count":35,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["51805414"],"award-info":[{"award-number":["51805414"]}],"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":["51905537"],"award-info":[{"award-number":["51905537"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/access.2021.3063743","type":"journal-article","created":{"date-parts":[[2021,3,4]],"date-time":"2021-03-04T15:42:28Z","timestamp":1614872548000},"page":"95481-95492","source":"Crossref","is-referenced-by-count":9,"title":["Cross-Domain Intelligent Fault Diagnosis Method of Rotating Machinery Using Multi-Scale Transfer Fuzzy Entropy"],"prefix":"10.1109","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2563-9877","authenticated-orcid":false,"given":"Zheng","family":"Dangdang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2454-9244","authenticated-orcid":false,"given":"Bing","family":"Han","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Geng","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2699-9951","authenticated-orcid":false,"given":"Yongbo","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4715-6267","authenticated-orcid":false,"given":"Huangchao","family":"Yu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref33","article-title":"Conditional adversarial domain adaptation","author":"long","year":"2017","journal-title":"arXiv 1705 10667"},{"key":"ref32","first-page":"2030","article-title":"Domain-adversarial training of neural networks","volume":"17","author":"ganin","year":"2016","journal-title":"J Mach Learn Res"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2016.2627020"},{"key":"ref30","first-page":"2066","article-title":"Geodesic flow kernel for unsupervised domain adaptation","author":"gong","year":"2012","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref35","article-title":"Unsupervised deep transfer learning for intelligent fault diagnosis: An open source and comparative study","author":"zhao","year":"2019","journal-title":"arXiv 1912 12528"},{"key":"ref34","article-title":"Learning transferable features with deep adaptation networks","author":"long","year":"2015","journal-title":"arXiv 1502 02791"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2020.108900"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2020.107182"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.3390\/e21040409"},{"key":"ref13","first-page":"861","article-title":"A new metric invariant of transient dynamical systems and automorphisms in Lebesgue spaces","volume":"119","author":"kolmogorov","year":"1958","journal-title":"Doklady Akademii Nauk SSSR"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1063\/1.166092"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1152\/ajpheart.2000.278.6.H2039"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.medengphy.2008.04.005"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevLett.88.174102"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2016.12.040"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevLett.89.068102"},{"key":"ref28","year":"0","journal-title":"Eric Bechhoefer MFPT Bearing Fault Data Sets"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2017.11.024"},{"key":"ref27","year":"0","journal-title":"Case Western Reserve University rolling bearing dataset"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2006.12.007"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2019.107282"},{"key":"ref29","year":"0","journal-title":"PHM 09 Data Challenge Data"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2020.2964633"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2873782"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2010.07.019"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2011.08.130"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2020.2980923"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2019.106587"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.mechmachtheory.2014.03.014"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.isatra.2020.10.028"},{"key":"ref21","first-page":"677","article-title":"Transfer learning via dimensionality reduction","volume":"2","author":"pan","year":"2008","journal-title":"Proc 23rd Nat Conf Artif Intell"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2010.2091281"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/1645953.1646121"},{"key":"ref26","doi-asserted-by":"crossref","first-page":"1345","DOI":"10.1109\/TKDE.2009.191","article-title":"A survey on transfer learning","volume":"22","author":"jialin pan","year":"2010","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2019.106344"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9312710\/09369369.pdf?arnumber=9369369","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,27]],"date-time":"2022-01-27T06:41:50Z","timestamp":1643265710000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9369369\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":35,"URL":"https:\/\/doi.org\/10.1109\/access.2021.3063743","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}