{"id":"https://openalex.org/W4413677941","doi":"https://doi.org/10.1109/access.2025.3602726","title":"A Novel Fault Diagnosis Method for ZPW-2000A Track Circuit Applied to Small Samples","display_name":"A Novel Fault Diagnosis Method for ZPW-2000A Track Circuit Applied to Small Samples","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4413677941","doi":"https://doi.org/10.1109/access.2025.3602726"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3602726","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3602726","pdf_url":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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://doi.org/10.1109/access.2025.3602726","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5109791223","display_name":"Xiangyu Ge","orcid":null},"institutions":[{"id":"https://openalex.org/I4210126903","display_name":"Zhong Ke San Huan (China)","ror":"https://ror.org/031mqp384","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210126903"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xuechun Ge","raw_affiliation_strings":["Beijing Huatie Information Technology Company Ltd., Beijing, China","Beijing Huatie Information Technology Co., Ltd, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Huatie Information Technology Company Ltd., Beijing, China","institution_ids":[]},{"raw_affiliation_string":"Beijing Huatie Information Technology Co., Ltd, Beijing, China","institution_ids":["https://openalex.org/I4210126903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115695535","display_name":"Peng Wang","orcid":"https://orcid.org/0000-0003-1824-2545"},"institutions":[{"id":"https://openalex.org/I4210126903","display_name":"Zhong Ke San Huan (China)","ror":"https://ror.org/031mqp384","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210126903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Wang","raw_affiliation_strings":["Beijing Huatie Information Technology Company Ltd., Beijing, China","Beijing Huatie Information Technology Co., Ltd, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Huatie Information Technology Company Ltd., Beijing, China","institution_ids":[]},{"raw_affiliation_string":"Beijing Huatie Information Technology Co., Ltd, Beijing, China","institution_ids":["https://openalex.org/I4210126903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100533961","display_name":"Yi Shi","orcid":"https://orcid.org/0009-0007-1071-3353"},"institutions":[{"id":"https://openalex.org/I4210141966","display_name":"China Academy of Railway Sciences","ror":"https://ror.org/051wv2j09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210141966"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Shi","raw_affiliation_strings":["Signal and Communication Research Institute, China Academy of Railway Sciences Corporation Ltd., Beijing, China","Signal and Communication Research Institute, China Academy of Railway Sciences Corporation Limited, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Signal and Communication Research Institute, China Academy of Railway Sciences Corporation Ltd., Beijing, China","institution_ids":["https://openalex.org/I4210141966"]},{"raw_affiliation_string":"Signal and Communication Research Institute, China Academy of Railway Sciences Corporation Limited, Beijing, China","institution_ids":["https://openalex.org/I4210141966"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Chaoping Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210141966","display_name":"China Academy of Railway Sciences","ror":"https://ror.org/051wv2j09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210141966"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaoping Zhu","raw_affiliation_strings":["Signal and Communication Research Institute, China Academy of Railway Sciences Corporation Ltd., Beijing, China","Signal and Communication Research Institute, China Academy of Railway Sciences Corporation Limited, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Signal and Communication Research Institute, China Academy of Railway Sciences Corporation Ltd., Beijing, China","institution_ids":["https://openalex.org/I4210141966"]},{"raw_affiliation_string":"Signal and Communication Research Institute, China Academy of Railway Sciences Corporation Limited, Beijing, China","institution_ids":["https://openalex.org/I4210141966"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111792662","display_name":"Ting Ke","orcid":null},"institutions":[{"id":"https://openalex.org/I132369690","display_name":"Tianjin University of Science and Technology","ror":"https://ror.org/018rbtf37","country_code":"CN","type":"education","lineage":["https://openalex.org/I132369690"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ting Ke","raw_affiliation_strings":["College of Artificial Intelligence, Tianjin University of Science and Technology, Tianjin, China","College of Artificial Intelligence, Tianjin University of Science &#x0026; Technology, Tianjin, China"],"raw_orcid":"https://orcid.org/0009-0003-3290-7408","affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Tianjin University of Science and Technology, Tianjin, China","institution_ids":["https://openalex.org/I132369690"]},{"raw_affiliation_string":"College of Artificial Intelligence, Tianjin University of Science &#x0026; Technology, Tianjin, China","institution_ids":["https://openalex.org/I132369690"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5109791223"],"corresponding_institution_ids":["https://openalex.org/I4210126903"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.25113144,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":null,"first_page":"151395","last_page":"151410"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13293","display_name":"Engineering and Test Systems","score":0.9955000281333923,"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/T13293","display_name":"Engineering and Test Systems","score":0.9955000281333923,"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/T11032","display_name":"VLSI and Analog Circuit Testing","score":0.9851999878883362,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.979200005531311,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6430040597915649},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.542277455329895},{"id":"https://openalex.org/keywords/track","display_name":"Track (disk drive)","score":0.4325658977031708},{"id":"https://openalex.org/keywords/track-circuit","display_name":"Track circuit","score":0.42963290214538574},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1260092854499817},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.11729001998901367},{"id":"https://openalex.org/keywords/seismology","display_name":"Seismology","score":0.07929888367652893}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6430040597915649},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.542277455329895},{"id":"https://openalex.org/C89992363","wikidata":"https://www.wikidata.org/wiki/Q5961558","display_name":"Track (disk drive)","level":2,"score":0.4325658977031708},{"id":"https://openalex.org/C191926282","wikidata":"https://www.wikidata.org/wiki/Q1150115","display_name":"Track circuit","level":3,"score":0.42963290214538574},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1260092854499817},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.11729001998901367},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.07929888367652893},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3602726","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3602726","pdf_url":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:3d8e528ba1894cf2ac9a5d2f9107a37f","is_oa":true,"landing_page_url":"https://doaj.org/article/3d8e528ba1894cf2ac9a5d2f9107a37f","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 13, Pp 151395-151410 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3602726","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3602726","pdf_url":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6399999856948853,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[{"id":"https://openalex.org/G1729151213","display_name":null,"funder_award_id":"12401668","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1930624869","https://openalex.org/W1974758710","https://openalex.org/W2055527516","https://openalex.org/W2123304600","https://openalex.org/W2341973567","https://openalex.org/W2415351794","https://openalex.org/W2522699764","https://openalex.org/W2975708346","https://openalex.org/W4210614491","https://openalex.org/W4221133061","https://openalex.org/W4386799853","https://openalex.org/W4402760347"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W3097195114","https://openalex.org/W809204907","https://openalex.org/W229325496","https://openalex.org/W2362187882","https://openalex.org/W3146813792","https://openalex.org/W4388687885","https://openalex.org/W4313016539"],"abstract_inverted_index":{"The":[0],"occurrence":[1],"of":[2,11,22,37,93],"faults":[3],"in":[4,28,47,172],"the":[5,35,63,94,151],"ZPW-2000A":[6],"track":[7],"circuit":[8],"exhibits":[9],"characteristics":[10],"diversity":[12],"and":[13,20,39,113,125,146,159],"sporadicity.":[14],"Diversity":[15],"implies":[16],"a":[17,57,67,100],"wide":[18],"variety":[19],"complexity":[21],"fault":[23,30,59,102],"types,":[24],"while":[25,167],"sporadicity":[26],"results":[27,117],"limited":[29],"data":[31,110],"being":[32],"available,":[33],"presenting":[34],"features":[36],"high-dimensionality":[38],"small":[40,51,164],"sample":[41,52,165],"size.":[42],"To":[43],"enhance":[44],"diagnostic":[45],"performance":[46],"multi-task":[48,101],"scenarios":[49],"with":[50,73],"datasets,":[53,166],"this":[54],"paper":[55],"proposes":[56],"novel":[58],"diagnosis":[60],"approach.":[61],"Specifically,":[62],"model":[64,104],"first":[65],"employs":[66],"Long":[68],"Short-Term":[69],"Memory":[70],"Network":[71],"combined":[72],"an":[74],"attention":[75],"mechanism":[76],"to":[77,128],"extract":[78],"complex":[79],"information":[80,112],"from":[81],"temporal":[82],"data.":[83],"Subsequently,":[84],"it":[85],"utilizes":[86],"Linear":[87],"Discriminant":[88],"Analysis":[89],"for":[90],"dimensionality":[91],"reduction":[92],"features,":[95],"eliminating":[96],"redundant":[97],"information.":[98],"Finally,":[99],"classification":[103],"is":[105],"constructed,":[106],"which":[107],"can":[108],"mine":[109],"distribution":[111],"manifold":[114],"structures.":[115],"Experimental":[116],"demonstrate":[118],"that":[119],"our":[120],"approach":[121],"achieves":[122],"higher":[123],"accuracy":[124,153],"robustness":[126],"compared":[127],"traditional":[129],"machine":[130],"learning":[131],"methods,":[132],"such":[133],"as":[134],"Logistic":[135],"Regression,":[136],"Convolutional":[137],"Neural":[138],"Network,":[139],"K-Nearest":[140],"Neighbors,":[141],"Decision":[142],"Trees,":[143],"Random":[144],"Forests,":[145],"Naive":[147],"Bayes.":[148],"It":[149],"improves":[150],"average":[152],"by":[154],"0.27%,":[155],"0.21%,":[156],"2.20%,":[157],"0.44%,":[158],"0.50%":[160],"respectively":[161],"across":[162],"five":[163],"also":[168],"exhibiting":[169],"significant":[170],"advantages":[171],"computational":[173],"performance.":[174]},"counts_by_year":[],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
