{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:45:55Z","timestamp":1740102355896,"version":"3.37.3"},"reference-count":24,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,9,22]],"date-time":"2023-09-22T00:00:00Z","timestamp":1695340800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,9,22]],"date-time":"2023-09-22T00:00:00Z","timestamp":1695340800000},"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"}]},{"DOI":"10.13039\/501100004735","name":"Natural Science Foundation of Hunan Province","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004735","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,9,22]]},"DOI":"10.1109\/safeprocess58597.2023.10295747","type":"proceedings-article","created":{"date-parts":[[2023,11,3]],"date-time":"2023-11-03T17:47:19Z","timestamp":1699033639000},"page":"1-6","source":"Crossref","is-referenced-by-count":1,"title":["Fault Diagnosis Based on Multiscale Multivariate Dispersive Entropy and Bayesian-optimized LSTM Networks for Motor Bearing"],"prefix":"10.1109","author":[{"given":"Ling","family":"Li","sequence":"first","affiliation":[{"name":"Changsha University of Science and Technology,School of Electrical and Information Engineering,Changsha,China,410114"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yucheng","family":"Ma","sequence":"additional","affiliation":[{"name":"Changsha University of Science and Technology,School of Electrical and Information Engineering,Changsha,China,410114"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiaxin","family":"Li","sequence":"additional","affiliation":[{"name":"Changsha University of Science and Technology,School of Electrical and Information Engineering,Changsha,China,410114"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kaixuan","family":"Lan","sequence":"additional","affiliation":[{"name":"Changsha University of Science and Technology,School of Electrical and Information Engineering,Changsha,China,410114"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Menglong","family":"Wang","sequence":"additional","affiliation":[{"name":"Changsha University of Science and Technology,School of Electrical and Information Engineering,Changsha,China,410114"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhuofu","family":"Pan","sequence":"additional","affiliation":[{"name":"Central South University,School of Automation,Changsha,China,410083"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"doi-asserted-by":"publisher","key":"ref13","DOI":"10.1155\/2022\/2058258"},{"doi-asserted-by":"publisher","key":"ref24","DOI":"10.3390\/s22052012"},{"doi-asserted-by":"publisher","key":"ref12","DOI":"10.1016\/j.measurement.2021.110506"},{"doi-asserted-by":"publisher","key":"ref23","DOI":"10.3390\/e21090913"},{"doi-asserted-by":"publisher","key":"ref15","DOI":"10.1007\/s42417-021-00413-8"},{"doi-asserted-by":"publisher","key":"ref14","DOI":"10.3390\/e24010022"},{"doi-asserted-by":"publisher","key":"ref20","DOI":"10.1016\/j.knosys.2020.105971"},{"doi-asserted-by":"publisher","key":"ref11","DOI":"10.1016\/j.renene.2015.12.010"},{"key":"ref22","first-page":"3182","article-title":"Multiscale dispersion entropy for the regional analysis of resting-state magnetoencephalogram complexity in Alzheimer&#x2019;s disease","author":"azami","year":"2017","journal-title":"2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)"},{"key":"ref10","first-page":"12111","article-title":"A Data-Driven Approach Based Bearing Faults Detection and Diagnosis: A Review","author":"jawad","year":"2020","journal-title":"1st International Conference on Sustainable Engineering and Technology (INTCSET 2020)"},{"doi-asserted-by":"publisher","key":"ref21","DOI":"10.1016\/j.ymssp.2021.107996"},{"key":"ref2","first-page":"1","article-title":"Intelligent Fault Diagnosis With Noisy Labels via Semi-Supervised Learning on Industrial Time Series","author":"cheng","year":"2023","journal-title":"IEEE Trans Industr Inform"},{"key":"ref1","first-page":"1","article-title":"Semi-supervised Contrast Learning Based on Multi-scale Attention and Multi-target Contrast Learning for Bearing Fault Diagnosis","author":"zhang","year":"2023","journal-title":"IEEE Trans Industr Inform"},{"doi-asserted-by":"publisher","key":"ref17","DOI":"10.3390\/en14061531"},{"doi-asserted-by":"publisher","key":"ref16","DOI":"10.3390\/s22103647"},{"doi-asserted-by":"publisher","key":"ref19","DOI":"10.1016\/j.measurement.2019.107132"},{"key":"ref18","first-page":"2196","article-title":"Induction motor fault monitoring and fault classification using deep learning probablistic neural network","volume":"63","author":"salih","year":"2020","journal-title":"Solid State Technol"},{"doi-asserted-by":"publisher","key":"ref8","DOI":"10.1109\/TII.2013.2243743"},{"doi-asserted-by":"publisher","key":"ref7","DOI":"10.1016\/j.jsv.2009.07.014"},{"key":"ref9","first-page":"5990","article-title":"A New Convolutional Neural Network-Based Data-Driven Fault Diagnosis Method","author":"wen","year":"2017","journal-title":"IEEE Trans Ind Electron"},{"doi-asserted-by":"publisher","key":"ref4","DOI":"10.1109\/TIE.2023.3260356"},{"doi-asserted-by":"publisher","key":"ref3","DOI":"10.1109\/TCYB.2023.3256080"},{"doi-asserted-by":"publisher","key":"ref6","DOI":"10.1109\/TIE.2016.2582729"},{"doi-asserted-by":"publisher","key":"ref5","DOI":"10.1109\/IAS.2019.8912449"}],"event":{"name":"2023 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS)","start":{"date-parts":[[2023,9,22]]},"location":"Yibin, China","end":{"date-parts":[[2023,9,24]]}},"container-title":["2023 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10295546\/10295577\/10295747.pdf?arnumber=10295747","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,27]],"date-time":"2023-11-27T19:28:31Z","timestamp":1701113311000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10295747\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,9,22]]},"references-count":24,"URL":"https:\/\/doi.org\/10.1109\/safeprocess58597.2023.10295747","relation":{},"subject":[],"published":{"date-parts":[[2023,9,22]]}}}