{"id":"https://openalex.org/W4388630282","doi":"https://doi.org/10.3390/s23229146","title":"A Lightweight and Efficient Method of Structural Damage Detection Using Stochastic Configuration Network","display_name":"A Lightweight and Efficient Method of Structural Damage Detection Using Stochastic Configuration Network","publication_year":2023,"publication_date":"2023-11-13","ids":{"openalex":"https://openalex.org/W4388630282","doi":"https://doi.org/10.3390/s23229146","pmid":"https://pubmed.ncbi.nlm.nih.gov/38005534"},"language":"en","primary_location":{"id":"doi:10.3390/s23229146","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23229146","pdf_url":"https://www.mdpi.com/1424-8220/23/22/9146/pdf?version=1699866351","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/23/22/9146/pdf?version=1699866351","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100515408","display_name":"Yuanming Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I63371133","display_name":"Chongqing Jiaotong University","ror":"https://ror.org/01t001k65","country_code":"CN","type":"education","lineage":["https://openalex.org/I63371133"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanming Lu","raw_affiliation_strings":["School of Information Science and Engineering, Chongqing Jiaotong University, Chongqing 400074, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Chongqing Jiaotong University, Chongqing 400074, China","institution_ids":["https://openalex.org/I63371133"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100401463","display_name":"Di Wang","orcid":"https://orcid.org/0000-0003-0435-0609"},"institutions":[{"id":"https://openalex.org/I63371133","display_name":"Chongqing Jiaotong University","ror":"https://ror.org/01t001k65","country_code":"CN","type":"education","lineage":["https://openalex.org/I63371133"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Di Wang","raw_affiliation_strings":["School of Information Science and Engineering, Chongqing Jiaotong University, Chongqing 400074, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Chongqing Jiaotong University, Chongqing 400074, China","institution_ids":["https://openalex.org/I63371133"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103260548","display_name":"Die Liu","orcid":"https://orcid.org/0009-0005-0169-5769"},"institutions":[{"id":"https://openalex.org/I63371133","display_name":"Chongqing Jiaotong University","ror":"https://ror.org/01t001k65","country_code":"CN","type":"education","lineage":["https://openalex.org/I63371133"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Die Liu","raw_affiliation_strings":["School of Civil Engineering, Chongqing Jiaotong University, Chongqing 400074, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Civil Engineering, Chongqing Jiaotong University, Chongqing 400074, China","institution_ids":["https://openalex.org/I63371133"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067186052","display_name":"Xianyi Yang","orcid":"https://orcid.org/0000-0002-9026-7934"},"institutions":[{"id":"https://openalex.org/I63371133","display_name":"Chongqing Jiaotong University","ror":"https://ror.org/01t001k65","country_code":"CN","type":"education","lineage":["https://openalex.org/I63371133"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianyi Yang","raw_affiliation_strings":["School of Civil Engineering, Chongqing Jiaotong University, Chongqing 400074, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Civil Engineering, Chongqing Jiaotong University, Chongqing 400074, China","institution_ids":["https://openalex.org/I63371133"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100401463"],"corresponding_institution_ids":["https://openalex.org/I63371133"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2673},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2673},"fwci":0.6957,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.64335858,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"23","issue":"22","first_page":"9146","last_page":"9146"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9995999932289124,"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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9995999932289124,"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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9990000128746033,"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/T12169","display_name":"Non-Destructive Testing Techniques","score":0.991100013256073,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.76463782787323},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6573176383972168},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.6069917678833008},{"id":"https://openalex.org/keywords/stochastic-gradient-descent","display_name":"Stochastic gradient descent","score":0.5140734910964966},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5126225352287292},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4467249810695648},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4430127441883087},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.436890184879303},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.4324544668197632},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.4285440146923065},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.42564675211906433},{"id":"https://openalex.org/keywords/stochastic-neural-network","display_name":"Stochastic neural network","score":0.4149087965488434},{"id":"https://openalex.org/keywords/time-delay-neural-network","display_name":"Time delay neural network","score":0.3512246012687683},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3449777066707611},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1451544165611267}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.76463782787323},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6573176383972168},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.6069917678833008},{"id":"https://openalex.org/C206688291","wikidata":"https://www.wikidata.org/wiki/Q7617819","display_name":"Stochastic gradient descent","level":3,"score":0.5140734910964966},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5126225352287292},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4467249810695648},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4430127441883087},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.436890184879303},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.4324544668197632},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.4285440146923065},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.42564675211906433},{"id":"https://openalex.org/C86582703","wikidata":"https://www.wikidata.org/wiki/Q7617824","display_name":"Stochastic neural network","level":4,"score":0.4149087965488434},{"id":"https://openalex.org/C175202392","wikidata":"https://www.wikidata.org/wiki/Q2434543","display_name":"Time delay neural network","level":3,"score":0.3512246012687683},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3449777066707611},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1451544165611267},{"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/s23229146","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23229146","pdf_url":"https://www.mdpi.com/1424-8220/23/22/9146/pdf?version=1699866351","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:38005534","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38005534","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10674875","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10674875","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10674875/pdf/sensors-23-09146.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:c63da29701de41bfbb5480204212b246","is_oa":true,"landing_page_url":"https://doaj.org/article/c63da29701de41bfbb5480204212b246","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":"Sensors, Vol 23, Iss 22, p 9146 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/s23229146","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23229146","pdf_url":"https://www.mdpi.com/1424-8220/23/22/9146/pdf?version=1699866351","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G182772496","display_name":null,"funder_award_id":"62103068","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4595724872","display_name":null,"funder_award_id":"KJQN202301803","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4928191036","display_name":null,"funder_award_id":"KJQN202100745","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5707681718","display_name":null,"funder_award_id":"51978111","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/F4320324805","display_name":"Chongqing Municipal Education Commission","ror":"https://ror.org/031nm5713"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4388630282.pdf"},"referenced_works_count":50,"referenced_works":["https://openalex.org/W1677182931","https://openalex.org/W1786513448","https://openalex.org/W1858647242","https://openalex.org/W1965681560","https://openalex.org/W2008275071","https://openalex.org/W2012501316","https://openalex.org/W2012638612","https://openalex.org/W2027456229","https://openalex.org/W2035912441","https://openalex.org/W2049690837","https://openalex.org/W2056337397","https://openalex.org/W2056373883","https://openalex.org/W2069229428","https://openalex.org/W2092944036","https://openalex.org/W2096204664","https://openalex.org/W2103001773","https://openalex.org/W2111072639","https://openalex.org/W2141188346","https://openalex.org/W2288455524","https://openalex.org/W2556533027","https://openalex.org/W2560247988","https://openalex.org/W2593382986","https://openalex.org/W2714319255","https://openalex.org/W2743518648","https://openalex.org/W2756789966","https://openalex.org/W2791965385","https://openalex.org/W2893488762","https://openalex.org/W2908753069","https://openalex.org/W2913497545","https://openalex.org/W2921723570","https://openalex.org/W2982438846","https://openalex.org/W2982853734","https://openalex.org/W3030361574","https://openalex.org/W3035286905","https://openalex.org/W3042807565","https://openalex.org/W3118531434","https://openalex.org/W3134034025","https://openalex.org/W3134457240","https://openalex.org/W3200327759","https://openalex.org/W4205798152","https://openalex.org/W4235292672","https://openalex.org/W4280575064","https://openalex.org/W4306249448","https://openalex.org/W4313029676","https://openalex.org/W4361287510","https://openalex.org/W4362732936","https://openalex.org/W4368377443","https://openalex.org/W4384519511","https://openalex.org/W4385497889","https://openalex.org/W6674360158"],"related_works":["https://openalex.org/W2115605526","https://openalex.org/W3093883775","https://openalex.org/W1539246760","https://openalex.org/W2786746258","https://openalex.org/W4225893763","https://openalex.org/W2788727425","https://openalex.org/W2405196115","https://openalex.org/W2104893957","https://openalex.org/W2971074373","https://openalex.org/W4402471162"],"abstract_inverted_index":{"With":[0],"the":[1,24,102,117,142,176,186,196,200],"advancement":[2],"of":[3,26,120,178,208],"neural":[4,9,28,50,82,111],"networks,":[5,29],"more":[6,8,138],"and":[7,31,76,91,130,137,199],"networks":[10,33,112],"are":[11,34],"being":[12],"applied":[13],"to":[14,48,115,168,195],"structural":[15],"health":[16],"monitoring":[17,121,143],"systems":[18],"(SHMSs).":[19],"When":[20],"an":[21,64,80],"SHMS":[22],"requires":[23],"integration":[25],"numerous":[27],"high-performance":[30],"low-latency":[32],"favored.":[35],"This":[36],"paper":[37,146],"focuses":[38],"on":[39,43,74,95,158],"damage":[40],"detection":[41],"based":[42,73,94],"vibration":[44],"signals.":[45],"In":[46],"contrast":[47],"traditional":[49],"network":[51,59,67,83,89,103,179],"approaches,":[52],"this":[53,145],"study":[54],"utilizes":[55],"a":[56,148,161],"stochastic":[57,149],"configuration":[58],"(SCN).":[60],"An":[61],"SCN":[62],"is":[63,79,92,166],"incrementally":[65],"learning":[66],"that":[68,84,113,154,185],"randomly":[69],"configures":[70],"appropriate":[71],"neurons":[72,172],"data":[75,122],"errors.":[77],"It":[78],"emerging":[81],"does":[85,155],"not":[86,93,156],"require":[87],"predefined":[88],"structures":[90],"gradient":[96],"descent.":[97],"While":[98],"SCNs":[99],"dynamically":[100],"define":[101],"structure,":[104],"they":[105,125],"essentially":[106],"function":[107],"as":[108],"fully":[109],"connected":[110],"fail":[114],"capture":[116],"temporal":[118],"properties":[119],"effectively.":[123],"Moreover,":[124],"suffer":[126],"from":[127],"inference":[128],"time":[129],"computational":[131],"cost":[132],"issues.":[133],"To":[134],"enable":[135],"faster":[136],"accurate":[139],"operation":[140],"within":[141],"system,":[144],"introduces":[147],"convolutional":[150],"feature":[151,187],"extraction":[152,188],"approach":[153],"rely":[157],"backpropagation.":[159],"Additionally,":[160],"random":[162,201],"node":[163,180,202],"deletion":[164,203],"algorithm":[165,204],"proposed":[167],"automatically":[169],"prune":[170],"redundant":[171],"in":[173],"SCNs,":[174],"addressing":[175],"issue":[177],"redundancy.":[181],"Experimental":[182],"results":[183],"demonstrate":[184],"method":[189],"improves":[190],"accuracy":[191],"by":[192],"30%":[193],"compared":[194],"original":[197],"SCN,":[198],"removes":[205],"approximately":[206],"10%":[207],"neurons.":[209]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
