{"id":"https://openalex.org/W4386475004","doi":"https://doi.org/10.1109/iccsce58721.2023.10237133","title":"Hybrid Modal-Machine Learning Approach for Structural Damage Diagnosis","display_name":"Hybrid Modal-Machine Learning Approach for Structural Damage Diagnosis","publication_year":2023,"publication_date":"2023-08-25","ids":{"openalex":"https://openalex.org/W4386475004","doi":"https://doi.org/10.1109/iccsce58721.2023.10237133"},"language":"en","primary_location":{"id":"doi:10.1109/iccsce58721.2023.10237133","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccsce58721.2023.10237133","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 13th International Conference on Control System, Computing and Engineering (ICCSCE)","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/A5019365873","display_name":"Pei Yi Siow","orcid":"https://orcid.org/0000-0001-6837-500X"},"institutions":[{"id":"https://openalex.org/I33849332","display_name":"University of Malaya","ror":"https://ror.org/00rzspn62","country_code":"MY","type":"education","lineage":["https://openalex.org/I33849332"]}],"countries":["MY"],"is_corresponding":true,"raw_author_name":"Pei Yi Siow","raw_affiliation_strings":["Universiti Malaya,Faculty of Engineering,Department of Mechanical Engineering,Kuala Lumpur,MALAYSIA,50603"],"affiliations":[{"raw_affiliation_string":"Universiti Malaya,Faculty of Engineering,Department of Mechanical Engineering,Kuala Lumpur,MALAYSIA,50603","institution_ids":["https://openalex.org/I33849332"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067012031","display_name":"Zhi Chao Ong","orcid":"https://orcid.org/0000-0002-1686-3551"},"institutions":[{"id":"https://openalex.org/I33849332","display_name":"University of Malaya","ror":"https://ror.org/00rzspn62","country_code":"MY","type":"education","lineage":["https://openalex.org/I33849332"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Zhi Chao Ong","raw_affiliation_strings":["Universiti Malaya,Faculty of Engineering,Department of Mechanical Engineering,Kuala Lumpur,MALAYSIA,50603","Centre of Research Industry 4.0 (CRI 4.0) Faculty of Engineering, Universiti Malaya, Kuala Lumpur, MALAYSIA"],"affiliations":[{"raw_affiliation_string":"Universiti Malaya,Faculty of Engineering,Department of Mechanical Engineering,Kuala Lumpur,MALAYSIA,50603","institution_ids":["https://openalex.org/I33849332"]},{"raw_affiliation_string":"Centre of Research Industry 4.0 (CRI 4.0) Faculty of Engineering, Universiti Malaya, Kuala Lumpur, MALAYSIA","institution_ids":["https://openalex.org/I33849332"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001629068","display_name":"Shilei Chen","orcid":"https://orcid.org/0000-0002-5281-8918"},"institutions":[{"id":"https://openalex.org/I4210153230","display_name":"Shanghai Academy of Spaceflight Technology","ror":"https://ror.org/050qhwt21","country_code":"CN","type":"government","lineage":["https://openalex.org/I2802615301","https://openalex.org/I4210153230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shilei Chen","raw_affiliation_strings":["Shanghai Rhythm Technology Co., Ltd Room B406-408, No. 2588, Hongmei South Road, Minhang District,Shanghai,CHINA","Shanghai Rhythm Technology Co., Ltd Room B406-408, No. 2588, Hongmei South Road, Minhang District, Shanghai, CHINA"],"affiliations":[{"raw_affiliation_string":"Shanghai Rhythm Technology Co., Ltd Room B406-408, No. 2588, Hongmei South Road, Minhang District,Shanghai,CHINA","institution_ids":["https://openalex.org/I4210153230"]},{"raw_affiliation_string":"Shanghai Rhythm Technology Co., Ltd Room B406-408, No. 2588, Hongmei South Road, Minhang District, Shanghai, CHINA","institution_ids":["https://openalex.org/I4210153230"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5019365873"],"corresponding_institution_ids":["https://openalex.org/I33849332"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1269249,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"106","last_page":"110"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9980000257492065,"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":0.9954000115394592,"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/context","display_name":"Context (archaeology)","score":0.6856189966201782},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6818494200706482},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.6759188175201416},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6691628098487854},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6488432288169861},{"id":"https://openalex.org/keywords/stage","display_name":"Stage (stratigraphy)","score":0.5381340384483337}],"concepts":[{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6856189966201782},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6818494200706482},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.6759188175201416},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6691628098487854},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6488432288169861},{"id":"https://openalex.org/C146357865","wikidata":"https://www.wikidata.org/wiki/Q1123245","display_name":"Stage (stratigraphy)","level":2,"score":0.5381340384483337},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccsce58721.2023.10237133","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccsce58721.2023.10237133","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 13th International Conference on Control System, Computing and Engineering (ICCSCE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321147","display_name":"Ministry of Higher Education","ror":"https://ror.org/0512bh102"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2041915168","https://openalex.org/W2150869884","https://openalex.org/W2766145368","https://openalex.org/W2996749908","https://openalex.org/W3080689312","https://openalex.org/W3097632870","https://openalex.org/W3189366907","https://openalex.org/W3196232294","https://openalex.org/W4200002767","https://openalex.org/W4200492386","https://openalex.org/W4220718885","https://openalex.org/W4290989348","https://openalex.org/W4293527345","https://openalex.org/W4328117340"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Many":[0],"machine-learning-based":[1],"structural":[2,114],"damage":[3,47,49,58,82,96,115,131,150,152,162,175],"diagnosis":[4,97,116],"methods":[5],"have":[6],"been":[7],"developed":[8],"in":[9,27,86,160,171,184],"the":[10,15,44,70,84,99,119,134,149,165,177,190],"recent":[11],"decade":[12],"due":[13],"to":[14,55,117,129,147,169,182],"advancements":[16],"of":[17,46,95,140,158],"sensors":[18],"and":[19,144,180],"cloud":[20],"computing.":[21],"Machine":[22],"learning":[23,62,109],"models":[24],"are":[25,32,51],"accurate":[26],"making":[28],"predictions":[29],"when":[30,151],"they":[31],"trained":[33,100],"with":[34],"sufficient":[35],"labelled":[36,57],"data,":[37],"but":[38],"only":[39],"on":[40],"seen":[41],"events.":[42],"In":[43],"context":[45],"diagnosis,":[48],"events":[50],"rare.":[52],"This":[53],"leads":[54],"insufficient":[56],"data":[59],"for":[60,113],"machine":[61],"model":[63,101],"training,":[64],"which":[65],"is":[66,102,111,153],"also":[67],"known":[68],"as":[69,77],"cold-start":[71,120],"issue.":[72,121],"A":[73],"physics-based":[74],"approach":[75,110],"such":[76],"modal-based":[78],"method":[79,128,146],"that":[80],"identifies":[81],"through":[83],"changes":[85],"dynamic":[87],"characteristics":[88],"could":[89],"be":[90],"implemented":[91],"at":[92,164,176,189],"early":[93],"phases":[94],"before":[98],"available.":[103],"Therefore,":[104],"a":[105,138],"two-stage":[106],"hybrid":[107],"modal-machine":[108],"proposed":[112],"solve":[118],"The":[122],"first":[123,166],"stage":[124,136],"applies":[125],"an":[126],"unsupervised":[127],"detect":[130],"presence,":[132],"while":[133],"second":[135,178,191],"implements":[137],"combination":[139],"mode":[141],"shape":[142],"assessment":[143],"supervised":[145],"locate":[148],"present.":[154],"Results":[155],"showed":[156],"accuracies":[157],"100%":[159,170],"detecting":[161],"presence":[163],"stage,":[167,179],"up":[168,181],"locating":[172,185],"unseen":[173,186],"single":[174],"83.3%":[183],"multiple":[187],"damages":[188],"stage.":[192]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}