{"id":"https://openalex.org/W3214082937","doi":"https://doi.org/10.1080/08839514.2021.2004346","title":"Rail Steel Health Analysis Based on a Novel Genetic Density-based Clustering Technique and Manifold Representation of Acoustic Emission Signals","display_name":"Rail Steel Health Analysis Based on a Novel Genetic Density-based Clustering Technique and Manifold Representation of Acoustic Emission Signals","publication_year":2021,"publication_date":"2021-11-12","ids":{"openalex":"https://openalex.org/W3214082937","doi":"https://doi.org/10.1080/08839514.2021.2004346","mag":"3214082937"},"language":"en","primary_location":{"id":"doi:10.1080/08839514.2021.2004346","is_oa":true,"landing_page_url":"https://doi.org/10.1080/08839514.2021.2004346","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/08839514.2021.2004346?needAccess=true","source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://www.tandfonline.com/doi/pdf/10.1080/08839514.2021.2004346?needAccess=true","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000407074","display_name":"Kangwei Wang","orcid":"https://orcid.org/0000-0002-7634-3945"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]},{"id":"https://openalex.org/I36234482","display_name":"University of Bristol","ror":"https://ror.org/0524sp257","country_code":"GB","type":"education","lineage":["https://openalex.org/I36234482"]}],"countries":["CN","GB"],"is_corresponding":false,"raw_author_name":"Kangwei Wang","raw_affiliation_strings":["Department of Control Science and Engineering, Harbin Institute of Technology, Harbin, P. R. China","Department of Mechanical Engineering, University of Bristol, Bristol, UK"],"affiliations":[{"raw_affiliation_string":"Department of Control Science and Engineering, Harbin Institute of Technology, Harbin, P. R. China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"Department of Mechanical Engineering, University of Bristol, Bristol, UK","institution_ids":["https://openalex.org/I36234482"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068665155","display_name":"Xin Zhang","orcid":"https://orcid.org/0000-0002-0773-8871"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xin Zhang","raw_affiliation_strings":["Department of Control Science and Engineering, Harbin Institute of Technology, Harbin, P. R. China"],"affiliations":[{"raw_affiliation_string":"Department of Control Science and Engineering, Harbin Institute of Technology, Harbin, P. R. China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086194251","display_name":"Shuzhi Song","orcid":"https://orcid.org/0000-0002-7927-4615"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuzhi Song","raw_affiliation_strings":["Department of Control Science and Engineering, Harbin Institute of Technology, Harbin, P. R. China"],"affiliations":[{"raw_affiliation_string":"Department of Control Science and Engineering, Harbin Institute of Technology, Harbin, P. R. China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100322712","display_name":"Yan Wang","orcid":"https://orcid.org/0000-0002-5344-1884"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Wang","raw_affiliation_strings":["Department of Control Science and Engineering, Harbin Institute of Technology, Harbin, P. R. China"],"affiliations":[{"raw_affiliation_string":"Department of Control Science and Engineering, Harbin Institute of Technology, Harbin, P. R. China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009129294","display_name":"Yi Shen","orcid":"https://orcid.org/0000-0002-3198-1927"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Shen","raw_affiliation_strings":["Department of Control Science and Engineering, Harbin Institute of Technology, Harbin, P. R. China"],"affiliations":[{"raw_affiliation_string":"Department of Control Science and Engineering, Harbin Institute of Technology, Harbin, P. R. China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036770578","display_name":"Paul D. Wilcox","orcid":"https://orcid.org/0000-0002-8569-8975"},"institutions":[{"id":"https://openalex.org/I36234482","display_name":"University of Bristol","ror":"https://ror.org/0524sp257","country_code":"GB","type":"education","lineage":["https://openalex.org/I36234482"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Paul D. Wilcox","raw_affiliation_strings":["Department of Mechanical Engineering, University of Bristol, Bristol, UK"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, University of Bristol, Bristol, UK","institution_ids":["https://openalex.org/I36234482"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5068665155"],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":{"value":2195,"currency":"USD","value_usd":2195},"apc_paid":{"value":2195,"currency":"USD","value_usd":2195},"fwci":0.4437,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.59367827,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"36","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10842","display_name":"Railway Engineering and Dynamics","score":0.9980000257492065,"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":0.9980000257492065,"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/T10662","display_name":"Ultrasonics and Acoustic Wave Propagation","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9909999966621399,"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/cluster-analysis","display_name":"Cluster analysis","score":0.8252220749855042},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7660802602767944},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6753296256065369},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5223703980445862},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5168474316596985},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5024676322937012},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.488094687461853},{"id":"https://openalex.org/keywords/acoustic-emission","display_name":"Acoustic emission","score":0.441400945186615},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41746699810028076},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.10408216714859009}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8252220749855042},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7660802602767944},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6753296256065369},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5223703980445862},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5168474316596985},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5024676322937012},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.488094687461853},{"id":"https://openalex.org/C174598085","wikidata":"https://www.wikidata.org/wiki/Q746673","display_name":"Acoustic emission","level":2,"score":0.441400945186615},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41746699810028076},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.10408216714859009},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/08839514.2021.2004346","is_oa":true,"landing_page_url":"https://doi.org/10.1080/08839514.2021.2004346","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/08839514.2021.2004346?needAccess=true","source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:bf41dec2980149ec8ce6bffb6853e831","is_oa":true,"landing_page_url":"https://doaj.org/article/bf41dec2980149ec8ce6bffb6853e831","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Applied Artificial Intelligence, Vol 36, Iss 1 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1080/08839514.2021.2004346","is_oa":true,"landing_page_url":"https://doi.org/10.1080/08839514.2021.2004346","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/08839514.2021.2004346?needAccess=true","source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1183025789","display_name":null,"funder_award_id":"No. 201906120066","funder_id":"https://openalex.org/F4320322725","funder_display_name":"China Scholarship Council"},{"id":"https://openalex.org/G7172302659","display_name":null,"funder_award_id":"No. 62033004 and No. 61771161","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"},{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3214082937.pdf","grobid_xml":"https://content.openalex.org/works/W3214082937.grobid-xml"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W1558024530","https://openalex.org/W1965744128","https://openalex.org/W1979479376","https://openalex.org/W1987971958","https://openalex.org/W2024233944","https://openalex.org/W2045691329","https://openalex.org/W2064091681","https://openalex.org/W2077542000","https://openalex.org/W2085337999","https://openalex.org/W2118268275","https://openalex.org/W2152601912","https://openalex.org/W2162833336","https://openalex.org/W2165835468","https://openalex.org/W2187089797","https://openalex.org/W2193209126","https://openalex.org/W2592371352","https://openalex.org/W2735443201","https://openalex.org/W2777699329","https://openalex.org/W2789819727","https://openalex.org/W2791276491","https://openalex.org/W2801464031","https://openalex.org/W2846722258","https://openalex.org/W2889586996","https://openalex.org/W2899431500","https://openalex.org/W2900089459","https://openalex.org/W2908193436","https://openalex.org/W2950244530","https://openalex.org/W2952118380","https://openalex.org/W2955986943","https://openalex.org/W2991106412","https://openalex.org/W2997103993","https://openalex.org/W3012210245","https://openalex.org/W3021508289","https://openalex.org/W3104521651","https://openalex.org/W3105146463","https://openalex.org/W3106090541","https://openalex.org/W3121769020","https://openalex.org/W3123080781"],"related_works":["https://openalex.org/W2393097294","https://openalex.org/W2889442519","https://openalex.org/W2381188978","https://openalex.org/W2364223432","https://openalex.org/W2988080746","https://openalex.org/W2377260462","https://openalex.org/W2158646189","https://openalex.org/W2472814183","https://openalex.org/W2946311026","https://openalex.org/W2382857567"],"abstract_inverted_index":{"In":[0,131],"order":[1],"to":[2,23,43,64,138],"improve":[3],"the":[4,7,50,54,94,114,119,133],"effectiveness":[5],"of":[6,142],"acoustic":[8],"emission":[9],"(AE)":[10],"technique":[11,20],"in":[12,38,77,85,99,117],"rail":[13,148],"health":[14,149],"monitoring,":[15],"a":[16,61,83],"novel":[17],"genetic":[18],"clustering":[19,29,41,108],"is":[21,42,58,74,97,136],"proposed":[22,59,72,95,134],"categorize":[24],"data":[25,144],"automatically,":[26],"integrating":[27],"density-based":[28,40],"and":[30,68,90,123,145],"t-distributed":[31],"stochastic":[32],"neighbor":[33],"embedding.":[34],"A":[35],"primary":[36],"problem":[37],"optimizing":[39],"accommodate":[44],"noise,":[45],"for":[46],"it":[47,112],"explicitly":[48],"computes":[49],"noise":[51,67,91,129],"subset.":[52],"Thus,":[53],"generalized":[55],"silhouette":[56],"index":[57],"as":[60],"profitable":[62],"objective":[63],"properly":[65],"tackle":[66],"arbitrary":[69],"shapes.":[70],"The":[71,107],"method":[73,96,135],"initially":[75],"testified":[76],"ten":[78],"benchmark":[79],"datasets,":[80],"which":[81],"manifests":[82],"superiority":[84],"handling":[86],"irregular":[87],"shape":[88],"datasets":[89],"interference.":[92,130],"Furthermore,":[93],"applied":[98],"real-world":[100],"AE":[101,121,143],"signals":[102],"acquired":[103],"from":[104],"tensile":[105],"tests.":[106],"results":[109],"elucidated":[110],"that":[111],"outperforms":[113],"comparative":[115],"methods":[116],"categorizing":[118],"fused":[120],"features":[122],"remains":[124],"robust":[125],"with":[126],"increasing":[127],"railway":[128],"conclusion,":[132],"validated":[137],"discover":[139],"intrinsic":[140],"groups":[141],"analyze":[146],"potential":[147],"stages.":[150]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}