{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,19]],"date-time":"2025-09-19T07:44:01Z","timestamp":1758267841679},"reference-count":11,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,9,12]],"date-time":"2023-09-12T00:00:00Z","timestamp":1694476800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,9,12]],"date-time":"2023-09-12T00:00:00Z","timestamp":1694476800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,9,12]]},"DOI":"10.1109\/etfa54631.2023.10275563","type":"proceedings-article","created":{"date-parts":[[2023,10,12]],"date-time":"2023-10-12T17:38:14Z","timestamp":1697132294000},"page":"1-5","source":"Crossref","is-referenced-by-count":3,"title":["Condition Monitoring of Industrial Elevators Based on Machine Learning Models"],"prefix":"10.1109","author":[{"given":"Maria Raluca","family":"Raia","sequence":"first","affiliation":[{"name":"Technical University of Cluj-Napoca,Department of Electrical Machines and Drives,Cluj-Napoca,Romania"}]},{"given":"Andrei","family":"Ailincai","sequence":"additional","affiliation":[{"name":"Siemens Industry Software,RTD,Brasov,Romania"}]},{"given":"Alexandra","family":"Baicoianu","sequence":"additional","affiliation":[{"name":"Transilvania University of Bra&#x015F;ov,Department of Mathematics and Informatics,Brasov,Romania"}]},{"given":"Calin","family":"Husar","sequence":"additional","affiliation":[{"name":"Transilvania University of Bra&#x015F;ov,Department of Mathematics and Informatics,Brasov,Romania"}]},{"given":"Cristi","family":"Irimia","sequence":"additional","affiliation":[{"name":"Transilvania University of Bra&#x015F;ov,Department of Mathematics and Informatics,Brasov,Romania"}]}],"member":"263","reference":[{"year":"0","key":"ref8"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ETFA52439.2022.9921429"},{"year":"0","key":"ref9"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CCECE.2018.8447771"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1201\/b11837-85"},{"key":"ref6","first-page":"1","article-title":"Digital Twins and AI in Smart Motion Control Applications","author":"?ech","year":"2022","journal-title":"2022 27th IEEE International Conference on Emerging Technologies and Factory Automation"},{"year":"0","key":"ref11"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CEI52496.2021.9574579"},{"year":"0","key":"ref10"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/SIELA49118.2020.9167049"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/MIE.2013.2287651"}],"event":{"name":"2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation (ETFA)","start":{"date-parts":[[2023,9,12]]},"location":"Sinaia, Romania","end":{"date-parts":[[2023,9,15]]}},"container-title":["2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation (ETFA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10275065\/10275329\/10275563.pdf?arnumber=10275563","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,30]],"date-time":"2023-10-30T18:44:31Z","timestamp":1698691471000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10275563\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,9,12]]},"references-count":11,"URL":"https:\/\/doi.org\/10.1109\/etfa54631.2023.10275563","relation":{},"subject":[],"published":{"date-parts":[[2023,9,12]]}}}