{"id":"https://openalex.org/W2514562024","doi":"https://doi.org/10.1109/icphm.2016.7542868","title":"Evaluation of micro-flaws in metallic material based on a self-organized data-driven approach","display_name":"Evaluation of micro-flaws in metallic material based on a self-organized data-driven approach","publication_year":2016,"publication_date":"2016-06-01","ids":{"openalex":"https://openalex.org/W2514562024","doi":"https://doi.org/10.1109/icphm.2016.7542868","mag":"2514562024"},"language":"en","primary_location":{"id":"doi:10.1109/icphm.2016.7542868","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icphm.2016.7542868","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Prognostics and Health Management (ICPHM)","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/A5045491687","display_name":"Xudong Teng","orcid":null},"institutions":[{"id":"https://openalex.org/I141962983","display_name":"Shanghai University of Engineering Science","ror":"https://ror.org/0557b9y08","country_code":"CN","type":"education","lineage":["https://openalex.org/I141962983"]},{"id":"https://openalex.org/I4210099069","display_name":"Institute of Acoustics","ror":"https://ror.org/00v8rqv75","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210099069"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xudong Teng","raw_affiliation_strings":["Key Laboratory of Modern Acoustics, Institute of Acoustics, Nanjing, China","School of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Modern Acoustics, Institute of Acoustics, Nanjing, China","institution_ids":["https://openalex.org/I4210099069"]},{"raw_affiliation_string":"School of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai, China","institution_ids":["https://openalex.org/I141962983"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007440397","display_name":"Yuantao Fan","orcid":"https://orcid.org/0000-0002-3034-6630"},"institutions":[{"id":"https://openalex.org/I746986","display_name":"Halmstad University","ror":"https://ror.org/03h0qfp10","country_code":"SE","type":"education","lineage":["https://openalex.org/I746986"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Yuantao Fan","raw_affiliation_strings":["Center for Applied Intelligent Systems Research (CAISR), Halmstad University, Halmstad, Sweden"],"affiliations":[{"raw_affiliation_string":"Center for Applied Intelligent Systems Research (CAISR), Halmstad University, Halmstad, Sweden","institution_ids":["https://openalex.org/I746986"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032811876","display_name":"S\u0142awomir Nowaczyk","orcid":"https://orcid.org/0000-0002-7796-5201"},"institutions":[{"id":"https://openalex.org/I746986","display_name":"Halmstad University","ror":"https://ror.org/03h0qfp10","country_code":"SE","type":"education","lineage":["https://openalex.org/I746986"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Slawomir Nowaczyk","raw_affiliation_strings":["Center for Applied Intelligent Systems Research (CAISR), Halmstad University, Halmstad, Sweden"],"affiliations":[{"raw_affiliation_string":"Center for Applied Intelligent Systems Research (CAISR), Halmstad University, Halmstad, Sweden","institution_ids":["https://openalex.org/I746986"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5045491687"],"corresponding_institution_ids":["https://openalex.org/I141962983","https://openalex.org/I4210099069"],"apc_list":null,"apc_paid":null,"fwci":0.2862,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.59302419,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"7","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10662","display_name":"Ultrasonics and Acoustic Wave Propagation","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10662","display_name":"Ultrasonics and Acoustic Wave Propagation","score":1.0,"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/T12169","display_name":"Non-Destructive Testing Techniques","score":0.9994999766349792,"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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9977999925613403,"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/acoustics","display_name":"Acoustics","score":0.5996174812316895},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5790157318115234},{"id":"https://openalex.org/keywords/ultrasonic-sensor","display_name":"Ultrasonic sensor","score":0.5489096641540527},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5426990389823914},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5116210579872131},{"id":"https://openalex.org/keywords/nondestructive-testing","display_name":"Nondestructive testing","score":0.4864809215068817},{"id":"https://openalex.org/keywords/transducer","display_name":"Transducer","score":0.47688132524490356},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4734192490577698},{"id":"https://openalex.org/keywords/structural-health-monitoring","display_name":"Structural health monitoring","score":0.4625856578350067},{"id":"https://openalex.org/keywords/probabilistic-method","display_name":"Probabilistic method","score":0.42908966541290283},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.42439407110214233},{"id":"https://openalex.org/keywords/ultrasonic-testing","display_name":"Ultrasonic testing","score":0.4112905263900757},{"id":"https://openalex.org/keywords/structural-engineering","display_name":"Structural engineering","score":0.2898382842540741},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21396425366401672},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15945115685462952},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12790513038635254},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.12044921517372131},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09485849738121033}],"concepts":[{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.5996174812316895},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5790157318115234},{"id":"https://openalex.org/C81288441","wikidata":"https://www.wikidata.org/wiki/Q20736125","display_name":"Ultrasonic sensor","level":2,"score":0.5489096641540527},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5426990389823914},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5116210579872131},{"id":"https://openalex.org/C56529433","wikidata":"https://www.wikidata.org/wiki/Q626700","display_name":"Nondestructive testing","level":2,"score":0.4864809215068817},{"id":"https://openalex.org/C56318395","wikidata":"https://www.wikidata.org/wiki/Q215928","display_name":"Transducer","level":2,"score":0.47688132524490356},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4734192490577698},{"id":"https://openalex.org/C2776247918","wikidata":"https://www.wikidata.org/wiki/Q1423713","display_name":"Structural health monitoring","level":2,"score":0.4625856578350067},{"id":"https://openalex.org/C60782215","wikidata":"https://www.wikidata.org/wiki/Q3333679","display_name":"Probabilistic method","level":3,"score":0.42908966541290283},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.42439407110214233},{"id":"https://openalex.org/C139730468","wikidata":"https://www.wikidata.org/wiki/Q1779355","display_name":"Ultrasonic testing","level":3,"score":0.4112905263900757},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.2898382842540741},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21396425366401672},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15945115685462952},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12790513038635254},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.12044921517372131},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09485849738121033},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icphm.2016.7542868","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icphm.2016.7542868","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Prognostics and Health Management (ICPHM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1988948086","https://openalex.org/W2035039281","https://openalex.org/W2076585371","https://openalex.org/W2079263306","https://openalex.org/W2084371178","https://openalex.org/W2093299232","https://openalex.org/W2115202104","https://openalex.org/W2146411341","https://openalex.org/W2152152092","https://openalex.org/W2249699048"],"related_works":["https://openalex.org/W2767051368","https://openalex.org/W890166521","https://openalex.org/W2465306490","https://openalex.org/W2955340206","https://openalex.org/W2352912787","https://openalex.org/W1995414748","https://openalex.org/W3119722270","https://openalex.org/W14343735","https://openalex.org/W2522613448","https://openalex.org/W1990014742"],"abstract_inverted_index":{"Evaluating":[0],"the":[1,19,55,60,69,143,148,156,163,167,199],"health":[2],"condition":[3],"of":[4,21,25,59,86,145,147,158,169,184],"a":[5,13,51,176],"material":[6,170],"that":[7,64,106,198],"could":[8],"potentially":[9],"contain":[10],"micro-flaws":[11,82,128],"is":[12,50,71,134,152,202],"common":[14],"and":[15,34,48,113,181,206],"important":[16],"application":[17],"within":[18],"field":[20],"non-destructive":[22],"testing.":[23],"Examples":[24],"such":[26],"micro-defects":[27],"include":[28],"dislocation,":[29],"fatigue":[30],"cracks":[31],"or":[32],"impurities":[33],"are":[35,94,107],"often":[36,95],"hard":[37],"to":[38,42,97,103,126,154,204],"detect.":[39],"The":[40,194],"ability":[41],"precisely":[43],"measure":[44],"their":[45],"type,":[46],"size":[47],"position":[49],"prerequisite":[52],"for":[53],"estimating":[54],"remaining":[56],"useful":[57],"life":[58],"component.":[61],"One":[62],"technique":[63],"was":[65],"shown":[66],"successful":[67],"in":[68,129],"past":[70],"based":[72,141],"on":[73,142,166,191],"traditional":[74],"ultrasonic":[75],"testing":[76],"methods.":[77,115],"In":[78,116],"most":[79,108],"cases,":[80],"inner":[81],"induce":[83],"slight":[84],"changes":[85,93],"acoustic":[87,159,185],"wave":[88],"spectrum":[89,157],"components.":[90],"However,":[91],"these":[92],"difficult":[96],"detect":[98,127,205],"directly,":[99],"as":[100],"they":[101],"tend":[102],"exhibit":[104],"features":[105],"naturally":[109],"analyzed":[110],"using":[111],"statistical":[112],"probabilistic":[114],"this":[117],"paper":[118],"we":[119],"apply":[120],"Consensus":[121],"Self-Organizing":[122],"Models":[123],"(COSMO)":[124],"method":[125,140,151,201],"metallic":[130],"material.":[131],"This":[132,150],"approach":[133],"essentially":[135],"an":[136],"unsupervised":[137],"deviation":[138],"detection":[139],"concept":[144],"\u201cwisdom":[146],"crowd\u201d.":[149],"used":[153],"analyze":[155],"waves":[160],"received":[161],"by":[162],"transducer":[164],"attached":[165],"surface":[168],"being":[171],"analyzed.":[172],"We":[173],"have":[174],"modeled":[175],"steel":[177],"board":[178],"with":[179],"micro-cracks":[180],"collected":[182],"time-series":[183],"echo":[186],"response,":[187],"at":[188],"different":[189],"positions":[190],"material's":[192],"surface.":[193],"experimental":[195],"results":[196],"show":[197],"COSMO":[200],"able":[203],"locate":[207],"micro-flaws.":[208]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}