{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,5]],"date-time":"2026-05-05T15:48:52Z","timestamp":1777996132309,"version":"3.51.4"},"reference-count":22,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,6,13]],"date-time":"2023-06-13T00:00:00Z","timestamp":1686614400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,6,13]],"date-time":"2023-06-13T00:00:00Z","timestamp":1686614400000},"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":[[2023,6,13]]},"DOI":"10.23919\/ecc57647.2023.10178257","type":"proceedings-article","created":{"date-parts":[[2023,8,1]],"date-time":"2023-08-01T18:00:50Z","timestamp":1690912850000},"page":"1-7","source":"Crossref","is-referenced-by-count":8,"title":["Supervised machine learning from digital twin data for railway switch fault diagnosis"],"prefix":"10.23919","author":[{"given":"Cedric","family":"Jung","sequence":"first","affiliation":[{"name":"Ecole Centrale de Lille"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Abdoul K. A.","family":"Toguyeni","sequence":"additional","affiliation":[{"name":"Centrale Lille Institut\/CRIStAL laboratory"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Belkacem Ould","family":"Bouamama","sequence":"additional","affiliation":[{"name":"Univ. Lille\/CRIStAL laboratory"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2016.0133"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-020-00679-8"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467231"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-020-00701-z"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2006.211"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-020-00710-y"},{"key":"ref22","first-page":"25","article-title":"Handling imbalanced datasets: A review","volume":"30","author":"kotsiantis","year":"2006","journal-title":"GESTS International Transactions on Computer Science and Engineering"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2017.7966039"},{"key":"ref21","article-title":"Is rotation forest the best classifier for problems with continuous features?","author":"bagnall","year":"2018","journal-title":"arXiv preprint arXiv 1809 06705"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/1081870.1081929"},{"key":"ref1","article-title":"Operational Failure Modes of Switches and Crossings","year":"2015"},{"key":"ref17","author":"jalili hassankiadeh","year":"2011","journal-title":"Failure analysis of railway switches and crossings for the purpose of preventive maintenance"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-022-00844-1"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM50108.2020.00107"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-021-06057-9"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2013.02.030"},{"key":"ref7","article-title":"An experimental evaluation of nearest neighbour time series classification","author":"bagnall","year":"2014","journal-title":"arXiv preprint arXiv 1406 4757"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-013-0322-1"},{"key":"ref4","article-title":"Wayside defect detector data mining to predict potential WILD train stops","author":"hajibabai","year":"2012","journal-title":"Annual Conference and Exposition of the American Railway Engineering and Maintenance-of-Way Association (AREMA)"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/BigData.2013.6691771"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-020-00727-3"},{"key":"ref5","article-title":"Diagnostic automatis&#x00E9; d&#x2019;aiguillage ferroviaire par apprentissage statistique","author":"grimonprez","year":"2020","journal-title":"Congr&#x00E8;s Lambda Mu 22 &#x00AB;Les risques au c&#x0153;ur des transitions&#x00BB;(e-congr&#x00E8;s)-22e Congr&#x00E8;s de Ma&#x00EE;trise des Risques et de S&#x00FB;ret&#x00E9; de Fonctionnement Institut pour la Ma&#x00EE;trise des Risques"}],"event":{"name":"2023 European Control Conference (ECC)","location":"Bucharest, Romania","start":{"date-parts":[[2023,6,13]]},"end":{"date-parts":[[2023,6,16]]}},"container-title":["2023 European Control Conference (ECC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10178092\/10178115\/10178257.pdf?arnumber=10178257","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,2]],"date-time":"2023-08-02T15:50:37Z","timestamp":1690991437000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10178257\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,13]]},"references-count":22,"URL":"https:\/\/doi.org\/10.23919\/ecc57647.2023.10178257","relation":{},"subject":[],"published":{"date-parts":[[2023,6,13]]}}}