{"id":"https://openalex.org/W4210642409","doi":"https://doi.org/10.1109/safeprocess52771.2021.9693745","title":"Defect Detection Method of Railway Fastener Based on SPP-improved ResNet","display_name":"Defect Detection Method of Railway Fastener Based on SPP-improved ResNet","publication_year":2021,"publication_date":"2021-12-17","ids":{"openalex":"https://openalex.org/W4210642409","doi":"https://doi.org/10.1109/safeprocess52771.2021.9693745"},"language":"en","primary_location":{"id":"doi:10.1109/safeprocess52771.2021.9693745","is_oa":false,"landing_page_url":"https://doi.org/10.1109/safeprocess52771.2021.9693745","pdf_url":null,"source":{"id":"https://openalex.org/S4363605570","display_name":"2021 CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes (SAFEPROCESS)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes (SAFEPROCESS)","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/A5077386632","display_name":"Dengfei Wang","orcid":"https://orcid.org/0000-0002-1126-7689"},"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":"Dengfei Wang","raw_affiliation_strings":["Lanzhou Jiaotong University,School of Automation and Electrical Engineering,Lanzhou,China","School of Automation and Electrical Engineering, Lanzhou Jiaotong University, Lanzhou, China"],"affiliations":[{"raw_affiliation_string":"Lanzhou Jiaotong University,School of Automation and Electrical Engineering,Lanzhou,China","institution_ids":["https://openalex.org/I3133134087"]},{"raw_affiliation_string":"School of Automation and Electrical Engineering, Lanzhou Jiaotong University, Lanzhou, China","institution_ids":["https://openalex.org/I3133134087"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103159962","display_name":"Hongsheng Su","orcid":"https://orcid.org/0000-0002-3832-6482"},"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":"HongSheng Su","raw_affiliation_strings":["Lanzhou Jiaotong University,School of Automation and Electrical Engineering,Lanzhou,China","School of Automation and Electrical Engineering, Lanzhou Jiaotong University, Lanzhou, China"],"affiliations":[{"raw_affiliation_string":"Lanzhou Jiaotong University,School of Automation and Electrical Engineering,Lanzhou,China","institution_ids":["https://openalex.org/I3133134087"]},{"raw_affiliation_string":"School of Automation and Electrical Engineering, Lanzhou Jiaotong University, Lanzhou, China","institution_ids":["https://openalex.org/I3133134087"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085777823","display_name":"Guangwu Chen","orcid":"https://orcid.org/0000-0002-5451-8839"},"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":"GuangWu Chen","raw_affiliation_strings":["Lanzhou Jiaotong University,School of Automation and Electrical Engineering,Lanzhou,China","School of Automation and Electrical Engineering, Lanzhou Jiaotong University, Lanzhou, China"],"affiliations":[{"raw_affiliation_string":"Lanzhou Jiaotong University,School of Automation and Electrical Engineering,Lanzhou,China","institution_ids":["https://openalex.org/I3133134087"]},{"raw_affiliation_string":"School of Automation and Electrical Engineering, Lanzhou Jiaotong University, Lanzhou, China","institution_ids":["https://openalex.org/I3133134087"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001452491","display_name":"Dejie Xu","orcid":"https://orcid.org/0000-0002-1849-8607"},"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":"DeJie Xu","raw_affiliation_strings":["Lanzhou Jiaotong University,School of Traffic and Transportation,Lanzhou,China","School of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou, China"],"affiliations":[{"raw_affiliation_string":"Lanzhou Jiaotong University,School of Traffic and Transportation,Lanzhou,China","institution_ids":["https://openalex.org/I3133134087"]},{"raw_affiliation_string":"School of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou, China","institution_ids":["https://openalex.org/I3133134087"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102770743","display_name":"Lifang Wang","orcid":"https://orcid.org/0000-0001-8950-4069"},"institutions":[{"id":"https://openalex.org/I4210135994","display_name":"China Railway Group (China)","ror":"https://ror.org/03za3eq42","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210135994"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"LiFang Wang","raw_affiliation_strings":["Scientific Research Institute of China,Railway Hohhot Bureau Group Co., Ltd,Hohhot,China","Railway Hohhot Bureau Group Co., Ltd, Scientific Research Institute of China, Hohhot, China"],"affiliations":[{"raw_affiliation_string":"Scientific Research Institute of China,Railway Hohhot Bureau Group Co., Ltd,Hohhot,China","institution_ids":["https://openalex.org/I4210135994"]},{"raw_affiliation_string":"Railway Hohhot Bureau Group Co., Ltd, Scientific Research Institute of China, Hohhot, China","institution_ids":["https://openalex.org/I4210135994"]}]},{"author_position":"last","author":{"id":null,"display_name":"Xiaojuan Zhao","orcid":null},"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":"Xiaojuan Zhao","raw_affiliation_strings":["Lanzhou Jiaotong University,Key Laboratory of Plateau Traffic Information Engineering and Control of Gansu Province,Lanzhou,China","Key Laboratory of Plateau Traffic Information Engineering and Control of Gansu Province, Lanzhou Jiaotong University, Lanzhou, China"],"affiliations":[{"raw_affiliation_string":"Lanzhou Jiaotong University,Key Laboratory of Plateau Traffic Information Engineering and Control of Gansu Province,Lanzhou,China","institution_ids":["https://openalex.org/I3133134087"]},{"raw_affiliation_string":"Key Laboratory of Plateau Traffic Information Engineering and Control of Gansu Province, Lanzhou Jiaotong University, Lanzhou, China","institution_ids":["https://openalex.org/I3133134087"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5077386632"],"corresponding_institution_ids":["https://openalex.org/I3133134087"],"apc_list":null,"apc_paid":null,"fwci":1.8667,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.86253885,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"22","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9983999729156494,"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"}},"topics":[{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9983999729156494,"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"}},{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9887999892234802,"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"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.984499990940094,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/fastener","display_name":"Fastener","score":0.9929200410842896},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6287375688552856},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6049606204032898},{"id":"https://openalex.org/keywords/residual-neural-network","display_name":"Residual neural network","score":0.5915554761886597},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5120108723640442},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.44852346181869507},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42156532406806946},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41720515489578247},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2613160014152527},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.24457544088363647},{"id":"https://openalex.org/keywords/structural-engineering","display_name":"Structural engineering","score":0.14335790276527405}],"concepts":[{"id":"https://openalex.org/C2778240408","wikidata":"https://www.wikidata.org/wiki/Q2002016","display_name":"Fastener","level":2,"score":0.9929200410842896},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6287375688552856},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6049606204032898},{"id":"https://openalex.org/C2944601119","wikidata":"https://www.wikidata.org/wiki/Q43744058","display_name":"Residual neural network","level":3,"score":0.5915554761886597},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5120108723640442},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.44852346181869507},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42156532406806946},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41720515489578247},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2613160014152527},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.24457544088363647},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.14335790276527405},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/safeprocess52771.2021.9693745","is_oa":false,"landing_page_url":"https://doi.org/10.1109/safeprocess52771.2021.9693745","pdf_url":null,"source":{"id":"https://openalex.org/S4363605570","display_name":"2021 CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes (SAFEPROCESS)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes (SAFEPROCESS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320325566","display_name":"Lanzhou Jiaotong University","ror":"https://ror.org/03144pv92"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W2095705004","https://openalex.org/W2109255472","https://openalex.org/W2166227789","https://openalex.org/W2302255633","https://openalex.org/W2338318698","https://openalex.org/W2753605260","https://openalex.org/W2800895582","https://openalex.org/W2889036050","https://openalex.org/W2912130719","https://openalex.org/W2955597079","https://openalex.org/W2963173190","https://openalex.org/W2963542991","https://openalex.org/W2964350391","https://openalex.org/W3009131247","https://openalex.org/W3013589844","https://openalex.org/W3024287916","https://openalex.org/W3032413505","https://openalex.org/W3095158598","https://openalex.org/W6629368666","https://openalex.org/W6674330103","https://openalex.org/W6694260854","https://openalex.org/W6997115715"],"related_works":["https://openalex.org/W2381731832","https://openalex.org/W2910075253","https://openalex.org/W2889060475","https://openalex.org/W2020631818","https://openalex.org/W1970316032","https://openalex.org/W4205192237","https://openalex.org/W293705464","https://openalex.org/W4226078381","https://openalex.org/W2009168439","https://openalex.org/W4386159726"],"abstract_inverted_index":{"Missing":[0],"and":[1],"broken":[2],"states":[3],"of":[4,20,31,37,46,102,116,142,152],"railway":[5,57,158],"fasteners":[6,58],"are":[7],"directly":[8],"related":[9],"to":[10,15,27,33,41,66],"driving":[11],"safety.":[12],"In":[13],"order":[14],"realize":[16],"the":[17,43,74,79,84,100,103,114,120,130,140,145,150],"accurate":[18],"detection":[19,54,68,131,155],"fasteners,":[21,38],"virtual":[22,85,110],"image":[23,53,86,111],"technology":[24],"is":[25,64,76,81,96,107,122,133,136],"used":[26],"simulate":[28],"defect":[29],"state":[30],"fastener":[32,47,117],"expand":[34],"feature":[35],"information":[36],"so":[39],"as":[40],"overcome":[42],"unbalanced":[44],"problem":[45],"samples.":[48],"Secondly,":[49],"a":[50],"deep":[51],"network":[52,80],"method":[55,147],"for":[56],"based":[59],"on":[60,83],"SPP-improved":[61],"ResNet":[62],"(SPP-ResNet)":[63],"proposed":[65,146],"improve":[67,113],"performance.":[69],"Experimental":[70],"results":[71],"show":[72],"that":[73,109],"accuracy":[75,101,115,132,141],"95.1%":[77],"when":[78],"trained":[82,123],"extended":[87],"dataset":[88],"with":[89],"Single":[90],"size":[91,127],"input":[92,128],"train":[93],"method,":[94],"which":[95,135],"2.4%":[97],"higher":[98,138],"than":[99,139],"unexpanded":[104],"dataset.":[105],"It":[106],"proved":[108],"can":[112,148],"detection.":[118],"After":[119],"SPP-ResNet":[121],"by":[124],"using":[125],"multi":[126],"training,":[129],"96.6%,":[134],"2.3%":[137],"ResNet.":[143],"Therefore,":[144],"meet":[149],"needs":[151],"railway-fastener":[153],"automatic":[154],"under":[156],"high-speed":[157],"development.":[159]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}