{"id":"https://openalex.org/W3184295589","doi":"https://doi.org/10.1155/2021/9126745","title":"Fault Diagnosis of Signal Equipment on the Lanzhou\u2010Xinjiang High\u2010Speed Railway Using Machine Learning for Natural Language Processing","display_name":"Fault Diagnosis of Signal Equipment on the Lanzhou\u2010Xinjiang High\u2010Speed Railway Using Machine Learning for Natural Language Processing","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3184295589","doi":"https://doi.org/10.1155/2021/9126745","mag":"3184295589"},"language":"en","primary_location":{"id":"doi:10.1155/2021/9126745","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/9126745","pdf_url":"https://downloads.hindawi.com/journals/complexity/2021/9126745.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://downloads.hindawi.com/journals/complexity/2021/9126745.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102982571","display_name":"Lei Shi","orcid":"https://orcid.org/0000-0003-0461-5021"},"institutions":[{"id":"https://openalex.org/I3133134087","display_name":"Lanzhou Jiaotong University","ror":"https://ror.org/03144pv92","country_code":"CN","type":"education","lineage":["https://openalex.org/I3133134087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Shi","raw_affiliation_strings":["School of Automation & Electrical Engineering, Lanzhou Jiaotong University, Lanzhou, China","School of Automation & Electrical Engineering, Lanzhou Jiaotong University, Lanzhou"],"raw_orcid":"https://orcid.org/0000-0003-0461-5021","affiliations":[{"raw_affiliation_string":"School of Automation & Electrical Engineering, Lanzhou Jiaotong University, Lanzhou, China","institution_ids":["https://openalex.org/I3133134087"]},{"raw_affiliation_string":"School of Automation & Electrical Engineering, Lanzhou Jiaotong University, Lanzhou","institution_ids":["https://openalex.org/I3133134087"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065942000","display_name":"Yulin Zhu","orcid":"https://orcid.org/0000-0002-9342-0455"},"institutions":[{"id":"https://openalex.org/I3133134087","display_name":"Lanzhou Jiaotong University","ror":"https://ror.org/03144pv92","country_code":"CN","type":"education","lineage":["https://openalex.org/I3133134087"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yulin Zhu","raw_affiliation_strings":["School of Automation & Electrical Engineering, Lanzhou Jiaotong University, Lanzhou, China","School of Automation & Electrical Engineering, Lanzhou Jiaotong University, Lanzhou"],"raw_orcid":"https://orcid.org/0000-0002-9342-0455","affiliations":[{"raw_affiliation_string":"School of Automation & Electrical Engineering, Lanzhou Jiaotong University, Lanzhou, China","institution_ids":["https://openalex.org/I3133134087"]},{"raw_affiliation_string":"School of Automation & Electrical Engineering, Lanzhou Jiaotong University, Lanzhou","institution_ids":["https://openalex.org/I3133134087"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076726899","display_name":"Youpeng Zhang","orcid":"https://orcid.org/0000-0002-0485-2775"},"institutions":[{"id":"https://openalex.org/I3133134087","display_name":"Lanzhou Jiaotong University","ror":"https://ror.org/03144pv92","country_code":"CN","type":"education","lineage":["https://openalex.org/I3133134087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Youpeng Zhang","raw_affiliation_strings":["Rail Transit Electrical Automation Engineering Laboratory of Gansu, Lanzhou Jiaotong University, Lanzhou, China","School of Automation & Electrical Engineering, Lanzhou Jiaotong University, Lanzhou, China","Rail Transit Electrical Automation Engineering Laboratory of Gansu, Lanzhou Jiaotong University, Lanzhou","School of Automation & Electrical Engineering, Lanzhou Jiaotong University, Lanzhou"],"raw_orcid":"https://orcid.org/0000-0002-0485-2775","affiliations":[{"raw_affiliation_string":"Rail Transit Electrical Automation Engineering Laboratory of Gansu, Lanzhou Jiaotong University, Lanzhou, China","institution_ids":["https://openalex.org/I3133134087"]},{"raw_affiliation_string":"School of Automation & Electrical Engineering, Lanzhou Jiaotong University, Lanzhou, China","institution_ids":["https://openalex.org/I3133134087"]},{"raw_affiliation_string":"Rail Transit Electrical Automation Engineering Laboratory of Gansu, Lanzhou Jiaotong University, Lanzhou","institution_ids":["https://openalex.org/I3133134087"]},{"raw_affiliation_string":"School of Automation & Electrical Engineering, Lanzhou Jiaotong University, Lanzhou","institution_ids":["https://openalex.org/I3133134087"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091259914","display_name":"Zhongji Su","orcid":"https://orcid.org/0000-0002-9883-1691"},"institutions":[{"id":"https://openalex.org/I3133134087","display_name":"Lanzhou Jiaotong University","ror":"https://ror.org/03144pv92","country_code":"CN","type":"education","lineage":["https://openalex.org/I3133134087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongji Su","raw_affiliation_strings":["School of Automation & Electrical Engineering, Lanzhou Jiaotong University, Lanzhou, China","School of Automation & Electrical Engineering, Lanzhou Jiaotong University, Lanzhou"],"raw_orcid":"https://orcid.org/0000-0002-9883-1691","affiliations":[{"raw_affiliation_string":"School of Automation & Electrical Engineering, Lanzhou Jiaotong University, Lanzhou, China","institution_ids":["https://openalex.org/I3133134087"]},{"raw_affiliation_string":"School of Automation & Electrical Engineering, Lanzhou Jiaotong University, Lanzhou","institution_ids":["https://openalex.org/I3133134087"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5065942000"],"corresponding_institution_ids":["https://openalex.org/I3133134087"],"apc_list":{"value":2300,"currency":"USD","value_usd":2300},"apc_paid":{"value":2300,"currency":"USD","value_usd":2300},"fwci":2.1714,"has_fulltext":true,"cited_by_count":24,"citation_normalized_percentile":{"value":0.89159128,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"2021","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9592000246047974,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9592000246047974,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.9366000294685364,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T14368","display_name":"Evaluation and Optimization Models","score":0.9246000051498413,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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":0.6849326491355896},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.6708801984786987},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5940495133399963},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.5191625356674194},{"id":"https://openalex.org/keywords/natural","display_name":"Natural (archaeology)","score":0.45427238941192627},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4027543067932129},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3340781331062317},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.32110917568206787},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.22714757919311523},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.22211283445358276},{"id":"https://openalex.org/keywords/seismology","display_name":"Seismology","score":0.1206289529800415},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.11613661050796509},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.058293700218200684}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6849326491355896},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.6708801984786987},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5940495133399963},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.5191625356674194},{"id":"https://openalex.org/C2776608160","wikidata":"https://www.wikidata.org/wiki/Q4785462","display_name":"Natural (archaeology)","level":2,"score":0.45427238941192627},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4027543067932129},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3340781331062317},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.32110917568206787},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.22714757919311523},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.22211283445358276},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.1206289529800415},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.11613661050796509},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.058293700218200684},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1155/2021/9126745","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/9126745","pdf_url":"https://downloads.hindawi.com/journals/complexity/2021/9126745.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:hin:complx:9126745","is_oa":false,"landing_page_url":"http://downloads.hindawi.com/journals/complexity/2021/9126745.xml","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},{"id":"pmh:oai:doaj.org/article:82488110fcae45149ed1b7109e619943","is_oa":true,"landing_page_url":"https://doaj.org/article/82488110fcae45149ed1b7109e619943","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":"Complexity, Vol 2021 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2021/9126745","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/9126745","pdf_url":"https://downloads.hindawi.com/journals/complexity/2021/9126745.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7900000214576721,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G5333665921","display_name":null,"funder_award_id":"20JR5RA428","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G711593738","display_name":"\u590d\u6742\u7535\u6c14\u73af\u5883\u4e0b\u9ad8\u901f\u94c1\u8def\u8f68\u9053\u7535\u8def\u6682\u6001\u54cd\u5e94\u7814\u7a76","funder_award_id":"51967010","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8308941720","display_name":null,"funder_award_id":"20JR5RA428","funder_id":"https://openalex.org/F4320322880","funder_display_name":"Natural Science Foundation of Gansu Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322880","display_name":"Natural Science Foundation of Gansu Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3184295589.pdf","grobid_xml":"https://content.openalex.org/works/W3184295589.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W2046600346","https://openalex.org/W2151040995","https://openalex.org/W2789574138","https://openalex.org/W2792763200","https://openalex.org/W2797707347","https://openalex.org/W2800017309","https://openalex.org/W2806298290","https://openalex.org/W2808054149","https://openalex.org/W2886234956","https://openalex.org/W2910652383","https://openalex.org/W2911157066","https://openalex.org/W2911777412","https://openalex.org/W2970435854","https://openalex.org/W2980709048","https://openalex.org/W2990523941","https://openalex.org/W2996033081","https://openalex.org/W3020199733","https://openalex.org/W3025226748","https://openalex.org/W3032414079","https://openalex.org/W3039681085","https://openalex.org/W3087125265","https://openalex.org/W3100137243"],"related_works":["https://openalex.org/W4283262748","https://openalex.org/W2502773048","https://openalex.org/W4252362398","https://openalex.org/W48866389","https://openalex.org/W2117651364","https://openalex.org/W3112533414","https://openalex.org/W2490481324","https://openalex.org/W1979668694","https://openalex.org/W4312662746","https://openalex.org/W2364036969"],"abstract_inverted_index":{"The":[0],"Lanzhou\u2010Xinjiang":[1],"(Lan\u2010Xin)":[2],"high\u2010speed":[3,34,197],"railway":[4,13,42,48,198],"is":[5,21,83],"one":[6],"of":[7,11,22,32,58,68,79,122,156,207,216,246,257],"the":[8,12,27,33,41,47,66,76,108,119,123,130,136,154,161,170,195,205,208,214,217,228,235,243,255],"principal":[9],"sections":[10],"network":[14],"in":[15,25,40,65,75,129],"western":[16],"China,":[17],"and":[18,29,44,50,103,167,181,203,249],"signal":[19,147,189,247,259],"equipment":[20,63,148,190,248],"great":[23],"importance":[24],"ensuring":[26],"safe":[28],"efficient":[30],"operation":[31,43],"railway.":[35],"Over":[36],"a":[37,55,91,146],"long":[38],"period,":[39],"maintenance":[45,256],"process,":[46],"signaling":[49],"communications":[51],"department":[52],"has":[53,250],"recorded":[54],"large":[56],"amount":[57],"unstructured":[59],"text":[60,192],"information":[61],"about":[62],"faults":[64],"form":[67],"natural":[69,95,236],"language.":[70],"However,":[71],"due":[72],"to":[73,85,101,117,144,199],"irregularities":[74],"recording":[77],"methods":[78],"these":[80],"data,":[81],"it":[82],"difficult":[84],"use":[86],"directly.":[87],"In":[88],"this":[89,105],"paper,":[90],"method":[92,239],"based":[93],"on":[94,160],"language":[96,237],"processing":[97,238],"(NLP)":[98],"was":[99,115,142,165],"adopted":[100],"analyze":[102],"classify":[104],"information.":[106],"First,":[107],"Latent":[109],"Dirichlet":[110],"Allocation":[111],"(LDA)":[112],"topic":[113,132,230],"model":[114,151],"used":[116,143,188],"extract":[118],"semantic":[120],"features":[121],"text,":[124],"which":[125,232],"were":[126],"then":[127],"expressed":[128],"corresponding":[131],"feature":[133],"space.":[134],"Next,":[135],"Support":[137],"Vector":[138],"Machine":[139],"(SVM)":[140],"algorithm":[141,220],"construct":[145],"fault":[149,244],"diagnostic":[150],"that":[152,213,234],"reduced":[153],"impact":[155],"sample":[157],"data":[158,193],"imbalance":[159],"classification":[162,219],"accuracy.":[163],"This":[164,186],"compared":[166],"analyzed":[168],"with":[169,227],"traditional":[171],"Naive":[172],"Bayes":[173],"(NB),":[174],"Logistic":[175],"Regression":[176],"(LR),":[177],"Random":[178],"Forest":[179],"(RF),":[180],"K\u2010Nearest":[182],"Neighbor":[183],"(KNN)":[184],"algorithms.":[185],"study":[187],"failure":[191],"from":[194],"Lan\u2010Xin":[196],"conduct":[200],"experimental":[201],"analysis":[202],"verify":[204],"effectiveness":[206],"proposed":[209],"method.":[210],"Experiments":[211],"showed":[212],"accuracy":[215],"SVM":[218],"could":[221],"reach":[222],"0.84":[223],"after":[224],"being":[225],"combined":[226],"LDA":[229],"model,":[231],"verifies":[233],"can":[240],"effectively":[241],"realize":[242],"diagnosis":[245],"certain":[251],"guiding":[252],"significance":[253],"for":[254],"field":[258],"equipment.":[260]},"counts_by_year":[{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":5}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}