{"id":"https://openalex.org/W3014831156","doi":"https://doi.org/10.3906/elk-1906-66","title":"Prediction of railway switch point failures by artificial intelligence methods","display_name":"Prediction of railway switch point failures by artificial intelligence methods","publication_year":2019,"publication_date":"2019-12-04","ids":{"openalex":"https://openalex.org/W3014831156","doi":"https://doi.org/10.3906/elk-1906-66","mag":"3014831156"},"language":"en","primary_location":{"id":"doi:10.3906/elk-1906-66","is_oa":false,"landing_page_url":"https://doi.org/10.3906/elk-1906-66","pdf_url":null,"source":{"id":"https://openalex.org/S32837994","display_name":"TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES","issn_l":"1300-0632","issn":["1300-0632","1303-6203"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318422","host_organization_name":"Scientific and Technological Research Council of Turkey (TUBITAK)","host_organization_lineage":["https://openalex.org/P4310318422"],"host_organization_lineage_names":["Scientific and Technological Research Council of Turkey (TUBITAK)"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES","raw_type":"journal-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/A5013206212","display_name":"Burak Arslan","orcid":"https://orcid.org/0000-0002-1724-8841"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Burak ARSLAN","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5039932864","display_name":"Hasan Tiryaki","orcid":"https://orcid.org/0000-0001-9175-0269"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hasan T\u0130RYAK\u0130","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5013206212"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3112,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.79113582,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":100},"biblio":{"volume":"28","issue":"2","first_page":"1044","last_page":"1058"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10842","display_name":"Railway Engineering and Dynamics","score":0.9810000061988831,"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":0.9810000061988831,"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/T11062","display_name":"Gear and Bearing Dynamics Analysis","score":0.9397000074386597,"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":0.9314000010490417,"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/artificial-neural-network","display_name":"Artificial neural network","score":0.7373437881469727},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6398329734802246},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5815147757530212},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.5742387771606445},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5534189939498901},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5032948851585388},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.42147740721702576},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.3999006748199463},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36714422702789307},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.36530542373657227},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1422494649887085},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11350932717323303}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7373437881469727},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6398329734802246},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5815147757530212},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5742387771606445},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5534189939498901},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5032948851585388},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.42147740721702576},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.3999006748199463},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36714422702789307},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.36530542373657227},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1422494649887085},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11350932717323303},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3906/elk-1906-66","is_oa":false,"landing_page_url":"https://doi.org/10.3906/elk-1906-66","pdf_url":null,"source":{"id":"https://openalex.org/S32837994","display_name":"TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES","issn_l":"1300-0632","issn":["1300-0632","1303-6203"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318422","host_organization_name":"Scientific and Technological Research Council of Turkey (TUBITAK)","host_organization_lineage":["https://openalex.org/P4310318422"],"host_organization_lineage_names":["Scientific and Technological Research Council of Turkey (TUBITAK)"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES","raw_type":"journal-article"},{"id":"pmh:oai:dergipark.org.tr:article/725088","is_oa":false,"landing_page_url":"https://dergipark.org.tr/tr/pub/tbtkelektrik/issue/53851/725088","pdf_url":null,"source":{"id":"https://openalex.org/S4306401840","display_name":"DergiPark (Istanbul University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67581229","host_organization_name":"Istanbul University","host_organization_lineage":["https://openalex.org/I67581229"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"\\n                                                                    Volume: 28, Issue: 2\\n                                                                                                    1044-1058\\n                                                                \\n                            ","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2090763504","https://openalex.org/W148178222","https://openalex.org/W2102148524","https://openalex.org/W2104657898","https://openalex.org/W1948992892","https://openalex.org/W1886884218","https://openalex.org/W1910826599","https://openalex.org/W1980100242","https://openalex.org/W2530420969","https://openalex.org/W4224922629"],"abstract_inverted_index":{"In":[0,36,52,117],"recent":[1],"years,":[2],"railway":[3,26,160,186],"transport":[4],"has":[5],"been":[6],"preferred":[7],"intensively":[8],"in":[9,30,155,221,239,254],"local":[10],"and":[11,14,33,68,72,80,103,112,131,165,169,188],"intercity":[12],"freight":[13],"passenger":[15],"transport.":[16],"For":[17],"this":[18,53,121],"reason,":[19],"it":[20,244],"is":[21,198,245,251],"of":[22,66,88,120,138,158,192,257],"utmost":[23],"importance":[24],"that":[25,141,151,195,247],"lines":[27],"are":[28,62,108,163,172,180],"operated":[29],"an":[31],"uninterrupted":[32],"safe":[34],"manner.":[35],"order":[37],"to":[38,47,84,149,174,237],"carry":[39],"out":[40],"continuous":[41],"operation,":[42],"all":[43],"systems":[44],"must":[45],"continue":[46],"operate":[48],"with":[49,77,99,216,230],"maximum":[50],"availability.":[51],"study,":[54],"data":[55,74,153,208],"were":[56,75,92,97,209,214,227],"collected":[57],"from":[58,205,235],"switch":[59,90,161,203],"motors,":[60],"which":[61,107,127,206],"the":[63,69,81,85,89,118,135,139,152,159,166,175,185,189,193,201,207,211,222,240,248,255,258],"important":[64],"equipment":[65,71],"railways,":[67],"related":[70,83],"these":[73],"evaluated":[76],"sector":[78],"experience":[79],"results":[82,96,213],"failure":[86],"status":[87],"points":[91,204],"revealed.":[93],"The":[94],"obtained":[95,154],"processed":[98,164],"support":[100,125],"vector":[101],"machines":[102],"artificial":[104,109],"neural":[105],"networks,":[106],"intelligence":[110],"methods,":[111],"machine":[113],"learning":[114],"was":[115,144],"performed.":[116],"light":[119],"learning,":[122],"a":[123],"decision":[124],"model,":[126],"predicts":[128],"possible":[129],"failures":[130,140,179,194],"gives":[132],"information":[133],"about":[134],"root":[136],"cause":[137],"have":[142,196],"occurred,":[143],"developed.":[145],"This":[146],"model":[147],"aims":[148],"ensure":[150],"each":[156],"movement":[157],"point":[162],"necessary":[167],"corrective":[168],"preventive":[170],"actions":[171],"communicated":[173],"maintenance":[176],"personnel;":[177],"thus,":[178],"eliminated":[181],"before":[182],"they":[183,226],"affect":[184],"operation":[187],"solution":[190],"process":[191],"occurred":[197],"shortened.":[199],"Considering":[200],"six":[202],"collected,":[210],"experimental":[212],"predicted":[215,229],"24%":[217],"RMSE":[218,231],"error":[219,232],"rates":[220,233],"SVM":[223],"method,":[224],"while":[225],"successfully":[228],"ranging":[234],"2.4%":[236],"6.6%":[238],"ANN":[241,249],"method.":[242],"Therefore,":[243],"observed":[246],"method":[250],"more":[252],"appropriate":[253],"implementation":[256],"established":[259],"model.":[260]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}