{"id":"https://openalex.org/W4384158815","doi":"https://doi.org/10.1109/i2mtc53148.2023.10175943","title":"A Fault Detection Method for Railway Turnout with Convex Hull-based One-Class Tensor Machine","display_name":"A Fault Detection Method for Railway Turnout with Convex Hull-based One-Class Tensor Machine","publication_year":2023,"publication_date":"2023-05-22","ids":{"openalex":"https://openalex.org/W4384158815","doi":"https://doi.org/10.1109/i2mtc53148.2023.10175943"},"language":"en","primary_location":{"id":"doi:10.1109/i2mtc53148.2023.10175943","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i2mtc53148.2023.10175943","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103762642","display_name":"Chen Chen","orcid":"https://orcid.org/0009-0009-9971-4815"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chen Chen","raw_affiliation_strings":["School of Electronic and Information Engineering, Tongji University,Shanghai,China","School of Electronic and Information Engineering, Tongji University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Tongji University,Shanghai,China","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"School of Electronic and Information Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044361588","display_name":"Haidong Shao","orcid":"https://orcid.org/0000-0001-7106-0009"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haidong Shao","raw_affiliation_strings":["School of Mechanical and Vehicle Engineering, Hunan University,Changsha,China","School of Mechanical and Vehicle Engineering, Hunan University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical and Vehicle Engineering, Hunan University,Changsha,China","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"School of Mechanical and Vehicle Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100538844","display_name":"Zhongwei Xu","orcid":"https://orcid.org/0000-0002-4734-4463"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongwei Xu","raw_affiliation_strings":["School of Electronic and Information Engineering, Tongji University,Shanghai,China","School of Electronic and Information Engineering, Tongji University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Tongji University,Shanghai,China","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"School of Electronic and Information Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100768452","display_name":"Kai Huang","orcid":"https://orcid.org/0000-0003-0359-7810"},"institutions":[{"id":"https://openalex.org/I161346416","display_name":"Jimei University","ror":"https://ror.org/03hknyb50","country_code":"CN","type":"education","lineage":["https://openalex.org/I161346416"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Huang","raw_affiliation_strings":["School of Computer Engineering, Jimei University,Xiamen,China","School of Computer Engineering, Jimei University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Engineering, Jimei University,Xiamen,China","institution_ids":["https://openalex.org/I161346416"]},{"raw_affiliation_string":"School of Computer Engineering, Jimei University, Xiamen, China","institution_ids":["https://openalex.org/I161346416"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011488178","display_name":"Qiaochuan Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I141962983","display_name":"Shanghai University of Engineering Science","ror":"https://ror.org/0557b9y08","country_code":"CN","type":"education","lineage":["https://openalex.org/I141962983"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiaochuan Chen","raw_affiliation_strings":["School of Computer Engineering and Science, Shanghai University,Shanghai,China","School of Computer Engineering and Science, Shanghai University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Engineering and Science, Shanghai University,Shanghai,China","institution_ids":["https://openalex.org/I141962983"]},{"raw_affiliation_string":"School of Computer Engineering and Science, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I141962983"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101964280","display_name":"Mei Meng","orcid":"https://orcid.org/0000-0002-5414-3432"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Mei","raw_affiliation_strings":["School of Electronic and Information Engineering, Tongji University,Shanghai,China","School of Electronic and Information Engineering, Tongji University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Tongji University,Shanghai,China","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"School of Electronic and Information Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5103762642"],"corresponding_institution_ids":["https://openalex.org/I116953780"],"apc_list":null,"apc_paid":null,"fwci":0.3752,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.58010232,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9872999787330627,"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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9872999787330627,"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/T10842","display_name":"Railway Engineering and Dynamics","score":0.9718000292778015,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T11568","display_name":"Railway Systems and Energy Efficiency","score":0.9557999968528748,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"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/preprocessor","display_name":"Preprocessor","score":0.6516976356506348},{"id":"https://openalex.org/keywords/convex-hull","display_name":"Convex hull","score":0.6153156161308289},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5961560606956482},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5620245933532715},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.5553087592124939},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5526919960975647},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5120416283607483},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5071988105773926},{"id":"https://openalex.org/keywords/tensor-decomposition","display_name":"Tensor decomposition","score":0.4491991400718689},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.4258647561073303},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.348391592502594},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3447064161300659},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.3051110506057739},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2495627999305725},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.10632222890853882}],"concepts":[{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6516976356506348},{"id":"https://openalex.org/C206194317","wikidata":"https://www.wikidata.org/wiki/Q1138624","display_name":"Convex hull","level":3,"score":0.6153156161308289},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5961560606956482},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5620245933532715},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.5553087592124939},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5526919960975647},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5120416283607483},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5071988105773926},{"id":"https://openalex.org/C2986737658","wikidata":"https://www.wikidata.org/wiki/Q30103009","display_name":"Tensor decomposition","level":3,"score":0.4491991400718689},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.4258647561073303},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.348391592502594},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3447064161300659},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.3051110506057739},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2495627999305725},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.10632222890853882}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/i2mtc53148.2023.10175943","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i2mtc53148.2023.10175943","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.5}],"awards":[{"id":"https://openalex.org/G2088567099","display_name":null,"funder_award_id":"2022YFB4300504","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G4173286937","display_name":null,"funder_award_id":"52275104","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2072640712","https://openalex.org/W2240082739","https://openalex.org/W2325226967","https://openalex.org/W2332485813","https://openalex.org/W2363735848","https://openalex.org/W2766282873","https://openalex.org/W2899870197","https://openalex.org/W2907871993","https://openalex.org/W2914489277","https://openalex.org/W2915853606","https://openalex.org/W2953430873","https://openalex.org/W2953503709","https://openalex.org/W2990523941","https://openalex.org/W3022112205","https://openalex.org/W3117198507","https://openalex.org/W3123858900","https://openalex.org/W3149994345","https://openalex.org/W4212861124","https://openalex.org/W4229007983","https://openalex.org/W4285245107","https://openalex.org/W4292290851"],"related_works":["https://openalex.org/W2989490741","https://openalex.org/W3092506759","https://openalex.org/W2367545121","https://openalex.org/W4248881655","https://openalex.org/W2482165163","https://openalex.org/W3010890513","https://openalex.org/W120741642","https://openalex.org/W138569904","https://openalex.org/W2390914021","https://openalex.org/W2389417819"],"abstract_inverted_index":{"Railway":[0],"turnout":[1],"is":[2,68,104,120,138],"critical":[3],"equipment":[4],"for":[5,26],"changing":[6],"trains'":[7],"directions,":[8],"which":[9],"directly":[10],"impacts":[11],"the":[12,48,72,84,101,107,112,117,123,129,135,154],"safety":[13],"and":[14,36,51,58,97,140,147,165],"efficiency":[15],"of":[16,134],"operation.":[17],"This":[18],"study":[19],"presents":[20],"a":[21,62],"novel":[22,63],"abnormal":[23,130],"detection":[24],"method":[25,110,137,156],"railway":[27],"turnouts":[28],"with":[29,111,122],"convex":[30],"hull-based":[31],"one-class":[32,73],"tensor":[33,75,103,126],"machine":[34,76],"(CH-OCSTM)":[35],"monitoring":[37],"signal":[38],"images.":[39],"As":[40],"opposed":[41],"to":[42,70,127],"existing":[43,161],"methods,":[44],"it":[45],"fully":[46],"preserves":[47],"spatial":[49],"structure":[50],"profile":[52],"information":[53],"in":[54,79,163],"both":[55],"data":[56,95],"processing":[57],"model-building":[59],"processes.":[60],"Besides,":[61],"tensor-form":[64],"classifier":[65],"called":[66],"CH-OCSTM":[67,118],"developed":[69],"improve":[71],"support":[74],"(OCSTM)'s":[77],"limitations":[78],"high":[80],"computing":[81],"complexity.":[82],"First,":[83],"one-dimensional":[85],"original":[86],"time-series":[87],"signals":[88],"are":[89],"converted":[90],"into":[91],"two-dimensional":[92],"images":[93],"by":[94,106],"preprocessing":[96],"2D":[98],"representation.":[99],"Next,":[100],"feature":[102,125],"calculated":[105],"CANDECOMP/PARAFAC":[108],"decomposition":[109],"curve":[113],"image":[114],"data.":[115],"Then,":[116],"model":[119],"built":[121],"extracted":[124],"implement":[128],"detection.":[131],"The":[132],"performance":[133],"proposed":[136,155],"evaluated":[139],"tested":[141],"on":[142],"two":[143],"real-world":[144],"operational":[145],"current":[146],"power":[148],"datasets.":[149],"Experimental":[150],"results":[151],"show":[152],"that":[153],"performs":[157],"better":[158],"than":[159],"other":[160],"approaches":[162],"accuracy":[164],"recall.":[166]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-25T21:42:39.735039","created_date":"2025-10-10T00:00:00"}
