{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,24]],"date-time":"2026-10-24T17:37:11Z","timestamp":1792863431077,"version":"4.5.0"},"reference-count":40,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001348","name":"Agency for Science, Technology and Research (A*STAR) through its AME Programmatic Funds","doi-asserted-by":"publisher","award":["A20H6b0151"],"award-info":[{"award-number":["A20H6b0151"]}],"id":[{"id":"10.13039\/501100001348","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Career Development Award","award":["C210112046"],"award-info":[{"award-number":["C210112046"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Instrum. Meas."],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/tim.2022.3154000","type":"journal-article","created":{"date-parts":[[2022,2,24]],"date-time":"2022-02-24T20:21:41Z","timestamp":1645734101000},"page":"1-12","source":"Crossref","is-referenced-by-count":209,"title":["Conditional Contrastive Domain Generalization for Fault Diagnosis"],"prefix":"10.1109","volume":"71","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2138-4395","authenticated-orcid":false,"given":"Mohamed","family":"Ragab","sequence":"first","affiliation":[{"name":"School of Computer Science and Engineering, Nanyang Technological University, Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1719-0328","authenticated-orcid":false,"given":"Zhenghua","family":"Chen","sequence":"additional","affiliation":[{"name":"Institute for Infocomm Research, Agency for Science, Technology and Research (A&#x002A;STAR), Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3849-4320","authenticated-orcid":false,"given":"Wenyu","family":"Zhang","sequence":"additional","affiliation":[{"name":"Institute for Infocomm Research, Agency for Science, Technology and Research (A&#x002A;STAR), Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9282-0991","authenticated-orcid":false,"given":"Emadeldeen","family":"Eldele","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Nanyang Technological University, Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0977-3600","authenticated-orcid":false,"given":"Min","family":"Wu","sequence":"additional","affiliation":[{"name":"Institute for Infocomm Research, Agency for Science, Technology and Research (A&#x002A;STAR), Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8547-6387","authenticated-orcid":false,"given":"Chee-Keong","family":"Kwoh","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Nanyang Technological University, Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0762-6562","authenticated-orcid":false,"given":"Xiaoli","family":"Li","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Nanyang Technological University, Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2020.3009341"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2021.3055821"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2020.2995441"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2018.2868023"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2019.2950667"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2019.2956366"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2018.2877090"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2019.2953010"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2019.2898619"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2020.05.014"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2020.2992829"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2021.3088489"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2020.3031198"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.2992393"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-49409-8_35"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11267"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.6801"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.5745"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.5555\/2946645.2946704"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.5757"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.6123"},{"key":"ref22","first-page":"10","article-title":"Domain generalization via invariant feature representation","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Muandet"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00566"},{"key":"ref24","article-title":"Generalizing to unseen domains via adversarial data augmentation","author":"Volpi","year":"2018","journal-title":"arXiv:1805.12018"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00233"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2021.3120790"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP39728.2021.9413872"},{"key":"ref28","first-page":"5628","article-title":"A theoretical analysis of contrastive unsupervised representation learning","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Saunshi"},{"key":"ref29","article-title":"Representation learning with contrastive predictive coding","author":"Van den Oord","year":"2018","journal-title":"arXiv:1807.03748"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58621-8_45"},{"key":"ref31","first-page":"1","article-title":"Adam: A method for stochastic optimization","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Kingma"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2015.04.021"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.3390\/s17020425"},{"key":"ref34","first-page":"5","article-title":"Condition monitoring of bearing damage in electromechanical drive systems by using motor current signals of electric motors: A benchmark data set for data-driven classification","volume-title":"Proc. Eur. Conf. Prognostics Health Manage. Soc.","author":"Lessmeier"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/72.788640"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01267-0_38"},{"key":"ref37","first-page":"19365","article-title":"Self-adaptive training: Beyond empirical risk minimization","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Huang"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00948"},{"key":"ref39","first-page":"1","article-title":"In search of lost domain generalization","volume-title":"Proc. 9th Int. Conf. Learn. Represent. (ICLR)","author":"Gulrajani"},{"key":"ref40","article-title":"UMAP: Uniform manifold approximation and projection for dimension reduction","author":"McInnes","year":"2020","journal-title":"arXiv:1802.03426"}],"container-title":["IEEE Transactions on Instrumentation and Measurement"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/19\/9717300\/09721021.pdf?arnumber=9721021","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,17]],"date-time":"2024-01-17T23:06:54Z","timestamp":1705532814000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9721021\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":40,"URL":"https:\/\/doi.org\/10.1109\/tim.2022.3154000","relation":{},"ISSN":["0018-9456","1557-9662"],"issn-type":[{"value":"0018-9456","type":"print"},{"value":"1557-9662","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}