{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,23]],"date-time":"2026-06-23T03:02:38Z","timestamp":1782183758722,"version":"3.54.5"},"reference-count":25,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/OAPA.html"}],"funder":[{"name":"National Key R&D Program of China","award":["2016YFB1200601-A08"],"award-info":[{"award-number":["2016YFB1200601-A08"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2019]]},"DOI":"10.1109\/access.2018.2889733","type":"journal-article","created":{"date-parts":[[2018,12,25]],"date-time":"2018-12-25T19:36:37Z","timestamp":1545766597000},"page":"6831-6841","source":"Crossref","is-referenced-by-count":17,"title":["Multi-Model Switching Based Fault Detection for the Suspension System of Maglev Train"],"prefix":"10.1109","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9147-4639","authenticated-orcid":false,"given":"Ping","family":"Wang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhiqiang","family":"Long","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ning","family":"Dang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.compeleceng.2017.06.016"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.enbuild.2015.12.045"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1049\/iet-smt.2016.0391"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.jprocont.2016.01.001"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2018.01.009"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1177\/1687814016665747"},{"key":"ref16","doi-asserted-by":"crossref","first-page":"1705","DOI":"10.3390\/s18061705","article-title":"Spectral kurtosis entropy and weighted SaE-ELM for bogie fault diagnosis under variable conditions","volume":"18","author":"wang","year":"2018","journal-title":"SENSORS"},{"key":"ref17","first-page":"699","article-title":"Combination of process and vibration data for improved condition monitoring of industrial systems working under variable operating conditions","volume":"66","author":"ruiz-?arcel","year":"2015","journal-title":"Mech Syst Signal Process"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2012.04.016"},{"key":"ref19","doi-asserted-by":"crossref","first-page":"59","DOI":"10.1007\/s00202-016-0487-x","article-title":"Multiple-fault diagnosis in induction motors through support vector machine classification at variable operating conditions","volume":"100","author":"mart\u00ednez-morales","year":"2018","journal-title":"Elect Eng"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2018.02.017"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2016.02.006"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2016.06.024"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2010.05.020"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2016.07.039"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.3390\/s18041096"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1155\/2017\/8092691"},{"key":"ref9","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1016\/j.eswa.2017.05.007","article-title":"Lightly trained support vector data description for novelty detection","volume":"85","author":"rekha","year":"2017","journal-title":"Expert Syst Appl"},{"key":"ref1","doi-asserted-by":"crossref","first-page":"4247","DOI":"10.21595\/jve.2017.18373","article-title":"Rotating machinery fault diagnosis for imbalanced data based on decision tree and fast clustering algorithm","volume":"19","author":"zhang","year":"2017","journal-title":"J Vibroeng"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/s10916-016-0579-1"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1177\/0959651817750520"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2876599"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/1961189.1961199"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TTHZ.2017.2708983"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.jsv.2017.07.037"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8600701\/08588333.pdf?arnumber=8588333","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,27]],"date-time":"2022-01-27T00:11:58Z","timestamp":1643242318000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8588333\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"references-count":25,"URL":"https:\/\/doi.org\/10.1109\/access.2018.2889733","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019]]}}}