{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:19:21Z","timestamp":1740100761287,"version":"3.37.3"},"reference-count":51,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,6,6]],"date-time":"2022-06-06T00:00:00Z","timestamp":1654473600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,6,6]],"date-time":"2022-06-06T00:00:00Z","timestamp":1654473600000},"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","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,6,6]]},"DOI":"10.1109\/icphm53196.2022.9815704","type":"proceedings-article","created":{"date-parts":[[2022,7,7]],"date-time":"2022-07-07T19:31:55Z","timestamp":1657222315000},"page":"188-197","source":"Crossref","is-referenced-by-count":1,"title":["A Multiple VAEs-based Information Fusion Framework With Mutual-KL Loss for Intelligent Fault Diagnosis and Toward OoD Detection"],"prefix":"10.1109","author":[{"given":"Cunjun","family":"Wang","sequence":"first","affiliation":[{"name":"Xi’an Jiaotong University,State Key Laboratory for Strength and Vibration of Mechanical Structures,Xi’an,China,710049"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zili","family":"Xu","sequence":"additional","affiliation":[{"name":"Xi’an Jiaotong University,State Key Laboratory for Strength and Vibration of Mechanical Structures,Xi’an,China,710049"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jun","family":"Wang","sequence":"additional","affiliation":[{"name":"Science and Technology on Liquid Rocket Engine Laboratory,Xi’an,China,710100"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Song","family":"Yan","sequence":"additional","affiliation":[{"name":"Science and Technology on Liquid Rocket Engine Laboratory,Xi’an,China,710100"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","article-title":"Auto-encoding variational bayes","author":"kingma","year":"0","journal-title":"International Conference on Learning Representations (ICLR) Conference Proceedings"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2021.107142"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW53098.2021.00063"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2016.04.007"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2017.07.032"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2018.08.010"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1177\/1475921718788299"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.3390\/s20010223"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/s42452-020-03715-w"},{"key":"ref34","first-page":"1690","article-title":"Variational denoising network: Toward blind noise modeling and removal","author":"yue","year":"0","journal-title":"Advances in Neural Information Processing Systems Conference Proceedings"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1155\/2017\/3583610"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1155\/2016\/6127479"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2016.07.028"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2013.2243743"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2021.3050382"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2021.06.057"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.anucene.2018.08.050"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.3390\/s16091509"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.3390\/s18051487"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2021.03.008"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33013991"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2020.106396"},{"key":"ref50","first-page":"1","article-title":"Intelligent mechanical fault diagnosis using multi-sensor fusion and convolution neural network","author":"xie","year":"2021","journal-title":"IEEE Transactions on Industrial Informatics"},{"key":"ref51","article-title":"Adaptive decision-level fusion strategy for the fault diagnosis of axial piston pumps using multiple channels of vibration signals","author":"chao","year":"2021","journal-title":"Science China Technological Sciences"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2021.3111977"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2021.106925"},{"key":"ref40","article-title":"A baseline for detecting misclassified and out-of-distribution examples in neural networks","author":"hendrycks","year":"0","journal-title":"International Conference on Learning Representations (ICLR) Conference Proceedings"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2017.2762639"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.jsv.2019.05.036"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.compind.2018.12.013"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2017.2669947"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2021.107652"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2021.3076855"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2005.07.003"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1177\/1077546318787945"},{"key":"ref4","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1038\/nature14539","article-title":"Deep learning","volume":"521","author":"lecun","year":"2015","journal-title":"Nature"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2019.106587"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6501\/aaf319"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2017.03.034"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2013.12.026"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2019.2947839"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2018.2864759"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2018.03.025"},{"key":"ref46","article-title":"Towards a theoretical framework of out-of-distribution generalization","author":"ye","year":"2021","journal-title":"Conference on Neural Information Processing Systems (NeurIPS)"},{"key":"ref45","article-title":"Towards outof-distribution generalization: A survey","volume":"abs 2108 13624","author":"shen","year":"2021","journal-title":"ArXiv"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33015885"},{"key":"ref47","article-title":"Improving reconstruction autoencoder out-of-distribution detection with mahalanobis distance","author":"denouden","year":"2018","journal-title":"arXiv preprint arXiv 1812 02588"},{"journal-title":"Generalized Out-of-Distribution Detection A Survey","year":"2021","author":"yang","key":"ref42"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298640"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01349"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00241"}],"event":{"name":"2022 IEEE International Conference on Prognostics and Health Management (ICPHM)","start":{"date-parts":[[2022,6,6]]},"location":"Detroit (Romulus), MI, USA","end":{"date-parts":[[2022,6,8]]}},"container-title":["2022 IEEE International Conference on Prognostics and Health Management (ICPHM)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9815455\/9815560\/09815704.pdf?arnumber=9815704","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,5]],"date-time":"2022-08-05T00:41:45Z","timestamp":1659660105000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9815704\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,6,6]]},"references-count":51,"URL":"https:\/\/doi.org\/10.1109\/icphm53196.2022.9815704","relation":{},"subject":[],"published":{"date-parts":[[2022,6,6]]}}}