{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,28]],"date-time":"2026-04-28T17:44:19Z","timestamp":1777398259152,"version":"3.51.4"},"reference-count":39,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"6","license":[{"start":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T00:00:00Z","timestamp":1717200000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T00:00:00Z","timestamp":1717200000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T00:00:00Z","timestamp":1717200000000},"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":["52175119"],"award-info":[{"award-number":["52175119"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Key Research and Development Program of China","award":["2023YFB4604700"],"award-info":[{"award-number":["2023YFB4604700"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Ind. Inf."],"published-print":{"date-parts":[[2024,6]]},"DOI":"10.1109\/tii.2024.3369240","type":"journal-article","created":{"date-parts":[[2024,3,18]],"date-time":"2024-03-18T20:32:39Z","timestamp":1710793959000},"page":"8488-8498","source":"Crossref","is-referenced-by-count":40,"title":["PhysiCausalNet: A Causal- and Physics-Driven Domain Generalization Network for Cross-Machine Fault Diagnosis of Unseen Domain"],"prefix":"10.1109","volume":"20","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9940-9794","authenticated-orcid":false,"given":"Yumeng","family":"Zhu","sequence":"first","affiliation":[{"name":"State Key Laboratory for Manufacturing Systems Engineering, Xi&#x0027;an Jiaotong University, Xi&#x0027;an, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0714-6670","authenticated-orcid":false,"given":"Yanyang","family":"Zi","sequence":"additional","affiliation":[{"name":"State Key Laboratory for Manufacturing Systems Engineering, Xi&#x0027;an Jiaotong University, Xi&#x0027;an, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6391-828X","authenticated-orcid":false,"given":"Jie","family":"Li","sequence":"additional","affiliation":[{"name":"State Key Laboratory for Manufacturing Systems Engineering, Xi&#x0027;an Jiaotong University, Xi&#x0027;an, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8082-7902","authenticated-orcid":false,"given":"Jing","family":"Xu","sequence":"additional","affiliation":[{"name":"State Key Laboratory for Manufacturing Systems Engineering, Xi&#x0027;an Jiaotong University, Xi&#x0027;an, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2023.105962"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.3390\/s22218537"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2018.06.078"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2018.02.016"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3448250"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2013.03.008"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2014.05.029"},{"key":"ref8","first-page":"7523","article-title":"On learning invariant representations for domain adaptation","volume-title":"Proc. Int. Conf. Mach. Learn.","volume":"97","author":"Zhao","year":"2019"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.5555\/2946645.2946704"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2020.3021406"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2021.3064377"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2020.108071"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2022.3178128"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2021.3078712"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2021.3088489"},{"key":"ref16","first-page":"1","article-title":"Invariant causal representation learning for out-of-distribution generalization","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Lu"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.petsci.2023.03.015"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00788"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2023.110228"},{"key":"ref20","first-page":"7313","article-title":"Domain generalization using causal matching","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Mahajan"},{"key":"ref21","first-page":"1","article-title":"Invariant causal mechanisms through distribution matching","volume-title":"Proc. Int. Conf. Learn. Representation","author":"Chevalley","year":"2022"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1115\/1.4050542"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1017\/9781009089517.019"},{"key":"ref24","article-title":"Physics-informed machine learning: A survey on problems, methods and applications","author":"Hao","year":"2022"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.jsv.2012.11.029"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2017.09.023"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1243\/14644190360713551"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2023.113000"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1115\/1.1802311"},{"key":"ref30","first-page":"1","article-title":"Temporal ensembling for semi-supervised learning","volume-title":"Proc. Int. Conf. Learn. Representation","author":"Laine","year":"2017"},{"key":"ref31","first-page":"1","article-title":"Fourier neural operator for parametric partial differential equations","volume-title":"Proc. Int. Conf. Learn. Representation","author":"Li","year":"2021"},{"key":"ref33","first-page":"1","article-title":"Mixup: Beyond empirical risk minimization","volume-title":"Proc. Int. Conf. Learn. Representation","author":"Zhang","year":"2018"},{"key":"ref34","article-title":"Invariant risk minimization","author":"Arjovsky","year":"2019"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2022.3174711"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.rcim.2022.102356"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2020.3048950"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2023.110544"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2021.3089340"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2023.109186"}],"container-title":["IEEE Transactions on Industrial Informatics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9424\/10550081\/10473208.pdf?arnumber=10473208","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,25]],"date-time":"2024-06-25T21:47:56Z","timestamp":1719352076000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10473208\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6]]},"references-count":39,"journal-issue":{"issue":"6"},"URL":"https:\/\/doi.org\/10.1109\/tii.2024.3369240","relation":{},"ISSN":["1551-3203","1941-0050"],"issn-type":[{"value":"1551-3203","type":"print"},{"value":"1941-0050","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,6]]}}}