{"id":"https://openalex.org/W4311628550","doi":"https://doi.org/10.3390/s22239438","title":"A Fault-Diagnosis Method for Railway Turnout Systems Based on Improved Autoencoder and Data Augmentation","display_name":"A Fault-Diagnosis Method for Railway Turnout Systems Based on Improved Autoencoder and Data Augmentation","publication_year":2022,"publication_date":"2022-12-02","ids":{"openalex":"https://openalex.org/W4311628550","doi":"https://doi.org/10.3390/s22239438","pmid":"https://pubmed.ncbi.nlm.nih.gov/36502142"},"language":"en","primary_location":{"id":"doi:10.3390/s22239438","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22239438","pdf_url":"https://www.mdpi.com/1424-8220/22/23/9438/pdf?version=1669985842","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/22/23/9438/pdf?version=1669985842","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100462403","display_name":"Mengyang Li","orcid":"https://orcid.org/0000-0001-7213-7661"},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengyang Li","raw_affiliation_strings":["School of Computer Science and Engineering, Xi\u2019an University of Technology, Xi\u2019an 710048, China","School of Computer Science and Engineering, Xi'an University of Technology, Xi'an 710048, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Xi\u2019an University of Technology, Xi\u2019an 710048, China","institution_ids":["https://openalex.org/I4210131919"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Xi'an University of Technology, Xi'an 710048, China","institution_ids":["https://openalex.org/I4210131919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073391035","display_name":"Xinhong Hei","orcid":"https://orcid.org/0000-0002-6394-0492"},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xinhong Hei","raw_affiliation_strings":["School of Computer Science and Engineering, Xi\u2019an University of Technology, Xi\u2019an 710048, China","School of Computer Science and Engineering, Xi'an University of Technology, Xi'an 710048, China"],"raw_orcid":"https://orcid.org/0000-0002-6394-0492","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Xi\u2019an University of Technology, Xi\u2019an 710048, China","institution_ids":["https://openalex.org/I4210131919"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Xi'an University of Technology, Xi'an 710048, China","institution_ids":["https://openalex.org/I4210131919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028389618","display_name":"Wenjiang Ji","orcid":"https://orcid.org/0000-0001-5502-1579"},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjiang Ji","raw_affiliation_strings":["School of Computer Science and Engineering, Xi\u2019an University of Technology, Xi\u2019an 710048, China","School of Computer Science and Engineering, Xi'an University of Technology, Xi'an 710048, China"],"raw_orcid":"https://orcid.org/0000-0001-5502-1579","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Xi\u2019an University of Technology, Xi\u2019an 710048, China","institution_ids":["https://openalex.org/I4210131919"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Xi'an University of Technology, Xi'an 710048, China","institution_ids":["https://openalex.org/I4210131919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103029948","display_name":"Lei Zhu","orcid":"https://orcid.org/0000-0001-5925-5743"},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Zhu","raw_affiliation_strings":["School of Computer Science and Engineering, Xi\u2019an University of Technology, Xi\u2019an 710048, China","School of Computer Science and Engineering, Xi'an University of Technology, Xi'an 710048, China"],"raw_orcid":"https://orcid.org/0000-0001-5925-5743","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Xi\u2019an University of Technology, Xi\u2019an 710048, China","institution_ids":["https://openalex.org/I4210131919"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Xi'an University of Technology, Xi'an 710048, China","institution_ids":["https://openalex.org/I4210131919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100773308","display_name":"Yichuan Wang","orcid":"https://orcid.org/0000-0001-6575-1954"},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yichuan Wang","raw_affiliation_strings":["School of Computer Science and Engineering, Xi\u2019an University of Technology, Xi\u2019an 710048, China","School of Computer Science and Engineering, Xi'an University of Technology, Xi'an 710048, China"],"raw_orcid":"https://orcid.org/0000-0001-6575-1954","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Xi\u2019an University of Technology, Xi\u2019an 710048, China","institution_ids":["https://openalex.org/I4210131919"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Xi'an University of Technology, Xi'an 710048, China","institution_ids":["https://openalex.org/I4210131919"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101528828","display_name":"Yuan Qiu","orcid":"https://orcid.org/0000-0002-4531-077X"},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Qiu","raw_affiliation_strings":["School of Computer Science and Engineering, Xi\u2019an University of Technology, Xi\u2019an 710048, China","School of Computer Science and Engineering, Xi'an University of Technology, Xi'an 710048, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Xi\u2019an University of Technology, Xi\u2019an 710048, China","institution_ids":["https://openalex.org/I4210131919"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Xi'an University of Technology, Xi'an 710048, China","institution_ids":["https://openalex.org/I4210131919"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5073391035"],"corresponding_institution_ids":["https://openalex.org/I4210131919"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2673},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2673},"fwci":1.8103,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.84039995,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"22","issue":"23","first_page":"9438","last_page":"9438"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10842","display_name":"Railway Engineering and Dynamics","score":0.9983000159263611,"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"}},"topics":[{"id":"https://openalex.org/T10842","display_name":"Railway Engineering and Dynamics","score":0.9983000159263611,"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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9943000078201294,"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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9807999730110168,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/autoencoder","display_name":"Autoencoder","score":0.7250847816467285},{"id":"https://openalex.org/keywords/softmax-function","display_name":"Softmax function","score":0.686854362487793},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6461789608001709},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.5343821048736572},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4863029420375824},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4303189516067505},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3412139117717743},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.3127284049987793}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.7250847816467285},{"id":"https://openalex.org/C188441871","wikidata":"https://www.wikidata.org/wiki/Q7554146","display_name":"Softmax function","level":3,"score":0.686854362487793},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6461789608001709},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.5343821048736572},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4863029420375824},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4303189516067505},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3412139117717743},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3127284049987793},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D002681","descriptor_name":"China","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002681","descriptor_name":"China","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002681","descriptor_name":"China","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007360","descriptor_name":"Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007360","descriptor_name":"Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007360","descriptor_name":"Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D013672","descriptor_name":"Technology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D013672","descriptor_name":"Technology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D013672","descriptor_name":"Technology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014186","descriptor_name":"Transportation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014186","descriptor_name":"Transportation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014186","descriptor_name":"Transportation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.3390/s22239438","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22239438","pdf_url":"https://www.mdpi.com/1424-8220/22/23/9438/pdf?version=1669985842","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:36502142","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36502142","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:64038f01e5bc490b99edb23df64968e7","is_oa":true,"landing_page_url":"https://doaj.org/article/64038f01e5bc490b99edb23df64968e7","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":"Sensors, Vol 22, Iss 23, p 9438 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/22/23/9438/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s22239438","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 22; Issue 23; Pages: 9438","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:9740646","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9740646","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s22239438","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22239438","pdf_url":"https://www.mdpi.com/1424-8220/22/23/9438/pdf?version=1669985842","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.6600000262260437}],"awards":[{"id":"https://openalex.org/G107330294","display_name":null,"funder_award_id":"U20B2050","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1977670634","display_name":null,"funder_award_id":"62120106011","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G2600632148","display_name":null,"funder_award_id":"U1934222","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G3169968190","display_name":null,"funder_award_id":"2019GY-032","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3666541614","display_name":null,"funder_award_id":"2018YFB1201500","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4323720886","display_name":null,"funder_award_id":"U20B2050","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G569658392","display_name":null,"funder_award_id":"U1934222","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5713498518","display_name":null,"funder_award_id":"2019GY-032","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G7023397746","display_name":null,"funder_award_id":"62120106011","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8029943587","display_name":null,"funder_award_id":"2020GY-039","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8242691610","display_name":null,"funder_award_id":"2020GY-039","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G839227407","display_name":null,"funder_award_id":"2018YFB1201500","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program 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":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4311628550.pdf"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W2145202303","https://openalex.org/W2156742582","https://openalex.org/W2337673319","https://openalex.org/W2340850249","https://openalex.org/W2418068396","https://openalex.org/W2541220830","https://openalex.org/W2765513165","https://openalex.org/W2782426014","https://openalex.org/W2891731930","https://openalex.org/W2892598691","https://openalex.org/W2907871993","https://openalex.org/W2923535998","https://openalex.org/W2953430873","https://openalex.org/W2953503709","https://openalex.org/W2986148812","https://openalex.org/W2989687282","https://openalex.org/W2990523941","https://openalex.org/W2991597181","https://openalex.org/W2998506103","https://openalex.org/W3007232733","https://openalex.org/W3010088906","https://openalex.org/W3019117233","https://openalex.org/W3022265541","https://openalex.org/W3033163677","https://openalex.org/W3041953952","https://openalex.org/W3043099717","https://openalex.org/W3049162560","https://openalex.org/W3087888346","https://openalex.org/W3094594436","https://openalex.org/W3123858900","https://openalex.org/W3169880793","https://openalex.org/W3172527209","https://openalex.org/W3197165562","https://openalex.org/W3201115733","https://openalex.org/W3205719659","https://openalex.org/W3209971730","https://openalex.org/W4224245763","https://openalex.org/W4229368631","https://openalex.org/W4283828571","https://openalex.org/W4285195459","https://openalex.org/W4288428456"],"related_works":["https://openalex.org/W2769441402","https://openalex.org/W2594436708","https://openalex.org/W4360994128","https://openalex.org/W3086240734","https://openalex.org/W2736305774","https://openalex.org/W2951850672","https://openalex.org/W2789476480","https://openalex.org/W2669956259","https://openalex.org/W4249005693","https://openalex.org/W3088732000"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"with":[3,20,207],"the":[4,17,28,32,58,65,80,92,96,104,111,152,156,161,166,170,183,188,194,200,208,214,237,249,254],"rapid":[5],"increase":[6],"in":[7,25,41,95,103,234],"coverage":[8],"and":[9,54,98,121,131,139,154,186,217,236,251],"lines,":[10],"security":[11],"maintenance":[12,55],"has":[13,74],"become":[14,75],"one":[15],"of":[16,57,68,83,106,142,169,190,253],"top":[18],"concerns":[19],"regard":[21],"to":[22,64,89,150,159,180,244],"railway":[23,33,232],"transportation":[24,30],"China.":[26],"As":[27],"key":[29,81],"infrastructure,":[31],"turnout":[34],"system":[35],"(RTS)":[36],"plays":[37],"a":[38,76,123,226,231],"vital":[39],"role":[40],"transportation,":[42],"which":[43,134,212,247],"will":[44],"cause":[45],"incalculable":[46],"losses":[47],"when":[48],"accidents":[49],"occur.":[50],"The":[51],"traditional":[52],"fault-diagnosis":[53,124],"methods":[56],"RTS":[59,84],"are":[60,223],"no":[61],"longer":[62],"applicable":[63],"growing":[66],"amount":[67],"data,":[69,211],"so":[70],"intelligent":[71,85],"fault":[72,86,140,184],"diagnosis":[73,87,215],"research":[77],"hotspot.":[78],"However,":[79],"challenge":[82],"is":[88,148,178,197,205],"effectively":[90,181],"extract":[91,155],"deep":[93,136,157],"features":[94,158],"signal":[97],"accurately":[99],"identify":[100],"failure":[101],"modes":[102],"face":[105],"unbalanced":[107,119,143,191],"datasets.":[108,192],"To":[109],"solve":[110,187],"above":[112],"two":[113],"problems,":[114],"this":[115],"paper":[116],"focuses":[117],"on":[118,127,225,230],"data":[120,132],"proposes":[122],"method":[125],"based":[126,229],"an":[128],"improved":[129,146],"autoencoder":[130,147],"augmentation,":[133],"realizes":[135],"feature":[137],"extraction":[138],"identification":[141],"data.":[144,171],"An":[145],"proposed":[149,255],"smooth":[151],"noise":[153,162],"overcome":[160],"fluctuation":[163],"caused":[164],"by":[165,199],"physical":[167],"characteristics":[168,210],"Then,":[172],"synthetic":[173],"minority":[174],"oversampling":[175],"technology":[176],"(SMOTE)":[177],"utilized":[179],"expand":[182],"types":[185],"problem":[189],"Furthermore,":[193],"health":[195],"state":[196],"identified":[198],"Softmax":[201],"regression":[202],"model":[203],"that":[204],"trained":[206],"balanced":[209],"improves":[213],"precision":[216],"generalization":[218],"ability.":[219],"Finally,":[220],"different":[221],"experiments":[222],"conducted":[224],"real":[227],"dataset":[228],"station":[233],"China,":[235],"average":[238],"diagnostic":[239],"accuracy":[240],"reaches":[241],"99.13%":[242],"superior":[243],"other":[245],"methods,":[246],"indicates":[248],"effectiveness":[250],"feasibility":[252],"method.":[256]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":4}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
