{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,9]],"date-time":"2026-05-09T17:25:15Z","timestamp":1778347515132,"version":"3.51.4"},"reference-count":34,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"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":["52275080"],"award-info":[{"award-number":["52275080"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Instrum. Meas."],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/tim.2023.3309363","type":"journal-article","created":{"date-parts":[[2023,8,28]],"date-time":"2023-08-28T17:52:59Z","timestamp":1693245179000},"page":"1-11","source":"Crossref","is-referenced-by-count":7,"title":["Multifeature Representation Distribution Adaptation Based on Data Fusion for Intelligent Fault Diagnosis of Planetary Gearboxes"],"prefix":"10.1109","volume":"72","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0327-179X","authenticated-orcid":false,"given":"Songjun","family":"Han","sequence":"first","affiliation":[{"name":"School of Mechanical Engineering, University of Science and Technology Beijing, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3403-4386","authenticated-orcid":false,"given":"Zhipeng","family":"Feng","sequence":"additional","affiliation":[{"name":"School of Mechanical Engineering, University of Science and Technology Beijing, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2012.09.015"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2013.01.017"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.jsv.2012.05.039"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.jsv.2021.115962"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2020.107325"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2019.106587"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2017.07.032"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2018.06.078"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2021.110030"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TMECH.2021.3076775"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/tim.2021.3116309"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2020.04.045"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6501\/ac03e5"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2020.106695"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6501\/abd650"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2021.109359"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2022.110924"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6501\/ac0a0c"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2021.106974"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.isatra.2019.08.012"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2020.3043510"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2021.109885"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1177\/09544062211008464"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2019.05.057"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2019.07.010"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.57"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2017.150"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-74976-9_23"},{"issue":"1","key":"ref30","first-page":"723","article-title":"A kernel two-sample test","volume":"13","author":"Gretton","year":"2012","journal-title":"J. Mach. Learn. Res."},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-49409-8_35"},{"key":"ref32","first-page":"97","article-title":"Learning transferable features with deep adaptation networks","volume-title":"Proc. 32nd Int. Conf. Mach. Learn.","volume":"37","author":"Long"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2988928"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11767"}],"container-title":["IEEE Transactions on Instrumentation and Measurement"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/19\/10012124\/10233022.pdf?arnumber=10233022","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,1]],"date-time":"2024-03-01T22:41:13Z","timestamp":1709332873000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10233022\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":34,"URL":"https:\/\/doi.org\/10.1109\/tim.2023.3309363","relation":{},"ISSN":["0018-9456","1557-9662"],"issn-type":[{"value":"0018-9456","type":"print"},{"value":"1557-9662","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]}}}