{"id":"https://openalex.org/W2906110806","doi":"https://doi.org/10.1109/access.2018.2889733","title":"Multi-Model Switching Based Fault Detection for the Suspension System of Maglev Train","display_name":"Multi-Model Switching Based Fault Detection for the Suspension System of Maglev Train","publication_year":2018,"publication_date":"2018-12-25","ids":{"openalex":"https://openalex.org/W2906110806","doi":"https://doi.org/10.1109/access.2018.2889733","mag":"2906110806"},"language":"en","primary_location":{"id":"doi:10.1109/access.2018.2889733","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2889733","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08588333.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08588333.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101580554","display_name":"Ping Wang","orcid":"https://orcid.org/0000-0001-9147-4639"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ping Wang","raw_affiliation_strings":["Intelligence Science College, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0001-9147-4639","affiliations":[{"raw_affiliation_string":"Intelligence Science College, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100438036","display_name":"Zhiqiang Long","orcid":"https://orcid.org/0000-0001-5129-6874"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiqiang Long","raw_affiliation_strings":["Intelligence Science College, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligence Science College, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036964583","display_name":"Ning Dang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ning Dang","raw_affiliation_strings":["Hunan Maglev Technology Research Center, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hunan Maglev Technology Research Center, Changsha, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.0956,"has_fulltext":true,"cited_by_count":16,"citation_normalized_percentile":{"value":0.79667254,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"7","issue":null,"first_page":"6831","last_page":"6841"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11602","display_name":"Magnetic Bearings and Levitation Dynamics","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11602","display_name":"Magnetic Bearings and Levitation Dynamics","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9908000230789185,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12707","display_name":"Vehicle License Plate Recognition","score":0.978600025177002,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/maglev","display_name":"Maglev","score":0.8246084451675415},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5882357954978943},{"id":"https://openalex.org/keywords/fault-detection-and-isolation","display_name":"Fault detection and isolation","score":0.5840359926223755},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5755176544189453},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.561155378818512},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.530978262424469},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5052626729011536},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.49961161613464355},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.4844515323638916},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.46569642424583435},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4095214903354645},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.4070173501968384},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38234344124794006},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.21327590942382812}],"concepts":[{"id":"https://openalex.org/C196781063","wikidata":"https://www.wikidata.org/wiki/Q160047","display_name":"Maglev","level":2,"score":0.8246084451675415},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5882357954978943},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.5840359926223755},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5755176544189453},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.561155378818512},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.530978262424469},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5052626729011536},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.49961161613464355},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.4844515323638916},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.46569642424583435},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4095214903354645},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.4070173501968384},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38234344124794006},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.21327590942382812},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C172707124","wikidata":"https://www.wikidata.org/wiki/Q423488","display_name":"Actuator","level":2,"score":0.0},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2018.2889733","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2889733","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08588333.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:631f826bfb144e609826e09477408346","is_oa":true,"landing_page_url":"https://doaj.org/article/631f826bfb144e609826e09477408346","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 6831-6841 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2018.2889733","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2889733","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08588333.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2906110806.pdf","grobid_xml":"https://content.openalex.org/works/W2906110806.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W1169095854","https://openalex.org/W2022400045","https://openalex.org/W2088484096","https://openalex.org/W2153635508","https://openalex.org/W2219842228","https://openalex.org/W2279597087","https://openalex.org/W2281806455","https://openalex.org/W2464878551","https://openalex.org/W2504252959","https://openalex.org/W2508175027","https://openalex.org/W2521002893","https://openalex.org/W2557102076","https://openalex.org/W2600799920","https://openalex.org/W2610347661","https://openalex.org/W2623418036","https://openalex.org/W2654845290","https://openalex.org/W2740421066","https://openalex.org/W2763884901","https://openalex.org/W2765177954","https://openalex.org/W2791280689","https://openalex.org/W2793413057","https://openalex.org/W2793712318","https://openalex.org/W2795516651","https://openalex.org/W2804575354","https://openalex.org/W2897844593"],"related_works":["https://openalex.org/W2137598809","https://openalex.org/W2205734838","https://openalex.org/W2541997129","https://openalex.org/W2569898171","https://openalex.org/W2373052636","https://openalex.org/W2772780115","https://openalex.org/W1991269640","https://openalex.org/W2065946187","https://openalex.org/W3215711820","https://openalex.org/W2369506284"],"abstract_inverted_index":{"In":[0,31,181],"order":[1],"to":[2,71,87,98,166],"satisfy":[3],"the":[4,10,32,35,41,47,50,56,63,67,73,80,89,94,103,107,126,134,140,144,154,161,167,183,188],"requirements":[5],"of":[6,9,49,75,93,173,187,190],"on-line":[7],"monitoring":[8],"suspension":[11,23],"system":[12,24],"under":[13],"complex":[14],"conditions,":[15],"a":[16,99,207],"fault":[17,108,116,217,220],"detection":[18,117,175],"method":[19,84,136,141,163,185],"for":[20,121,211],"maglev":[21],"train":[22],"based":[25,142,152],"on":[26,143,153],"multi-model":[27],"switching":[28],"is":[29,69,85,137,164,186],"proposed.":[30],"proposed":[33,135,162,184],"method,":[34],"healthy":[36,51],"samples":[37,52],"are":[38,53,110,119],"extracted":[39,54],"through":[40],"moving":[42],"time":[43],"window,":[44],"and":[45,60,78,91,106,147,177,196,219],"then":[46,79,115],"features":[48],"by":[55,62,112],"Fast":[57],"Walsh\u2013Hadamard":[58],"transform":[59],"filtered":[61],"median":[64],"filter.":[65],"Then,":[66],"normalization":[68],"used":[70,86],"eliminate":[72],"difference":[74],"feature":[76,95,146],"vectors,":[77],"principal":[81],"component":[82],"analysis":[83],"reduce":[88],"dimension":[90],"de-correlation":[92],"matrix":[96],"contributing":[97],"hyper-sphere":[100],"space.":[101],"Finally,":[102],"health":[104,174],"threshold":[105,109],"determined":[111],"Euclidean":[113],"distance,":[114],"models":[118],"established":[120],"various":[122],"operating":[123],"conditions.":[124],"Taking":[125],"positive":[127,179],"line":[128],"operation":[129],"condition":[130],"as":[131,216],"an":[132],"example,":[133],"compared":[138],"with":[139],"original":[145,155],"support":[148],"vector":[149],"data":[150,212],"description":[151],"feature.":[156],"The":[157],"results":[158],"demonstrate":[159],"that":[160],"superior":[165],"other":[168],"two":[169],"methods":[170],"in":[171,203],"terms":[172],"rate":[176],"false":[178],"rate.":[180],"addition,":[182],"characteristics":[189],"low":[191],"computational":[192],"complexity,":[193],"no-parameter":[194],"optimization,":[195],"good":[197],"robustness.":[198],"It":[199],"can":[200],"be":[201],"applied":[202],"practical":[204],"engineering":[205],"providing":[206],"certain":[208],"research":[209],"basis":[210],"deep":[213],"mining":[214],"such":[215],"diagnosis":[218],"prediction.":[221]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
