{"id":"https://openalex.org/W4366771510","doi":"https://doi.org/10.3390/s23084160","title":"Damage Quantification and Identification in Structural Joints through Ultrasonic Guided Wave-Based Features and an Inverse Bayesian Scheme","display_name":"Damage Quantification and Identification in Structural Joints through Ultrasonic Guided Wave-Based Features and an Inverse Bayesian Scheme","publication_year":2023,"publication_date":"2023-04-21","ids":{"openalex":"https://openalex.org/W4366771510","doi":"https://doi.org/10.3390/s23084160","pmid":"https://pubmed.ncbi.nlm.nih.gov/37112501"},"language":"en","primary_location":{"id":"doi:10.3390/s23084160","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23084160","pdf_url":"https://www.mdpi.com/1424-8220/23/8/4160/pdf?version=1682069072","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/1424-8220/23/8/4160/pdf?version=1682069072","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5107415451","display_name":"Wen Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I142263535","display_name":"University of Nottingham","ror":"https://ror.org/01ee9ar58","country_code":"GB","type":"education","lineage":["https://openalex.org/I142263535"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Wen Wu","raw_affiliation_strings":["Institute for Aerospace Technology, Resilience Engineering Research Group, The University of Nottingham, Nottingham NG7 2RD, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Aerospace Technology, Resilience Engineering Research Group, The University of Nottingham, Nottingham NG7 2RD, UK","institution_ids":["https://openalex.org/I142263535"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041991418","display_name":"Sergio Cantero\u2010Chinchilla","orcid":"https://orcid.org/0000-0002-6235-5304"},"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":"Sergio Cantero-Chinchilla","raw_affiliation_strings":["Department of Mechanical Engineering, University of Bristol, Bristol BS8 1TR, UK"],"raw_orcid":"https://orcid.org/0000-0002-6235-5304","affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, University of Bristol, Bristol BS8 1TR, UK","institution_ids":["https://openalex.org/I36234482"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101601076","display_name":"Wang\u2010Ji Yan","orcid":"https://orcid.org/0009-0000-9156-8934"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]},{"id":"https://openalex.org/I6469544","display_name":"City University of Macau","ror":"https://ror.org/04gpd4q15","country_code":"MO","type":"education","lineage":["https://openalex.org/I6469544"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Wang-ji Yan","raw_affiliation_strings":["Guangdong-Hong Kong-Macau Joint Laboratory for Smart Cities, University of Macau, Macau 999078, China","State Key Laboratory of Internet of Things for Smart City, Department of Civil and Environmental Engineering, University of Macau, Macau 999078, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong-Hong Kong-Macau Joint Laboratory for Smart Cities, University of Macau, Macau 999078, China","institution_ids":["https://openalex.org/I204512498"]},{"raw_affiliation_string":"State Key Laboratory of Internet of Things for Smart City, Department of Civil and Environmental Engineering, University of Macau, Macau 999078, China","institution_ids":["https://openalex.org/I6469544","https://openalex.org/I204512498"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071505747","display_name":"Manuel Chiach\u00edo","orcid":"https://orcid.org/0000-0003-4577-9380"},"institutions":[{"id":"https://openalex.org/I173304897","display_name":"Universidad de Granada","ror":"https://ror.org/04njjy449","country_code":"ES","type":"education","lineage":["https://openalex.org/I173304897"]},{"id":"https://openalex.org/I4210095677","display_name":"Instituto Andaluz de Ciencias de la Tierra","ror":"https://ror.org/00v0g9w49","country_code":"ES","type":"facility","lineage":["https://openalex.org/I134820265","https://openalex.org/I4210095677"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Manuel Chiachio Ruano","raw_affiliation_strings":["Department of Structural Mechanics and Hydraulic Engineering, Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI), University of Granada (UGR), 18001 Granada, Spain"],"raw_orcid":"https://orcid.org/0000-0003-4577-9380","affiliations":[{"raw_affiliation_string":"Department of Structural Mechanics and Hydraulic Engineering, Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI), University of Granada (UGR), 18001 Granada, Spain","institution_ids":["https://openalex.org/I4210095677","https://openalex.org/I173304897"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017921172","display_name":"Rasa Remenyte\u2010Prescott","orcid":"https://orcid.org/0000-0003-2881-4017"},"institutions":[{"id":"https://openalex.org/I142263535","display_name":"University of Nottingham","ror":"https://ror.org/01ee9ar58","country_code":"GB","type":"education","lineage":["https://openalex.org/I142263535"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Rasa Remenyte-Prescott","raw_affiliation_strings":["Resilience Engineering Research Group, Faculty of Engineering, University of Nottingham, University Park, Nottingham NG7 2RD, UK"],"raw_orcid":"https://orcid.org/0000-0003-2881-4017","affiliations":[{"raw_affiliation_string":"Resilience Engineering Research Group, Faculty of Engineering, University of Nottingham, University Park, Nottingham NG7 2RD, UK","institution_ids":["https://openalex.org/I142263535"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056315318","display_name":"Dimitrios Chronopoulos","orcid":"https://orcid.org/0000-0003-0186-8314"},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Dimitrios Chronopoulos","raw_affiliation_strings":["Department of Mechanical Engineering & Mecha(tro)nic System Dynamics (LMSD), KU Leuven, 9000 Leuven, Belgium"],"raw_orcid":"https://orcid.org/0000-0003-0186-8314","affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering & Mecha(tro)nic System Dynamics (LMSD), KU Leuven, 9000 Leuven, Belgium","institution_ids":["https://openalex.org/I99464096"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5107415451"],"corresponding_institution_ids":["https://openalex.org/I142263535"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":1.5842,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.79156445,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"23","issue":"8","first_page":"4160","last_page":"4160"},"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":0.9998999834060669,"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":0.9998000264167786,"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/feature","display_name":"Feature (linguistics)","score":0.6243387460708618},{"id":"https://openalex.org/keywords/finite-element-method","display_name":"Finite element method","score":0.6171463131904602},{"id":"https://openalex.org/keywords/identification-scheme","display_name":"Identification scheme","score":0.5801299810409546},{"id":"https://openalex.org/keywords/kriging","display_name":"Kriging","score":0.5357401371002197},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.47816190123558044},{"id":"https://openalex.org/keywords/uncertainty-quantification","display_name":"Uncertainty quantification","score":0.46475115418434143},{"id":"https://openalex.org/keywords/structural-health-monitoring","display_name":"Structural health monitoring","score":0.45694029331207275},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.45542070269584656},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4460156261920929},{"id":"https://openalex.org/keywords/inverse-problem","display_name":"Inverse problem","score":0.44478756189346313},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.43559974431991577},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.42362987995147705},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4201762080192566},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2927664816379547},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2643164396286011},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2302882969379425},{"id":"https://openalex.org/keywords/structural-engineering","display_name":"Structural engineering","score":0.21755772829055786},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.20499062538146973},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.11719486117362976},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.11438894271850586}],"concepts":[{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6243387460708618},{"id":"https://openalex.org/C135628077","wikidata":"https://www.wikidata.org/wiki/Q220184","display_name":"Finite element method","level":2,"score":0.6171463131904602},{"id":"https://openalex.org/C2778922385","wikidata":"https://www.wikidata.org/wiki/Q3475620","display_name":"Identification scheme","level":3,"score":0.5801299810409546},{"id":"https://openalex.org/C81692654","wikidata":"https://www.wikidata.org/wiki/Q225926","display_name":"Kriging","level":2,"score":0.5357401371002197},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47816190123558044},{"id":"https://openalex.org/C32230216","wikidata":"https://www.wikidata.org/wiki/Q7882499","display_name":"Uncertainty quantification","level":2,"score":0.46475115418434143},{"id":"https://openalex.org/C2776247918","wikidata":"https://www.wikidata.org/wiki/Q1423713","display_name":"Structural health monitoring","level":2,"score":0.45694029331207275},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.45542070269584656},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4460156261920929},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.44478756189346313},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.43559974431991577},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.42362987995147705},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4201762080192566},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2927664816379547},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2643164396286011},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2302882969379425},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.21755772829055786},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.20499062538146973},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.11719486117362976},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.11438894271850586},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.0},{"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":9,"locations":[{"id":"doi:10.3390/s23084160","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23084160","pdf_url":"https://www.mdpi.com/1424-8220/23/8/4160/pdf?version=1682069072","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:37112501","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37112501","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:research-information.bris.ac.uk:openaire_cris_publications/a3324fbb-3d86-41ad-9bef-37487e5f49d3","is_oa":true,"landing_page_url":"https://research-information.bris.ac.uk/en/publications/a3324fbb-3d86-41ad-9bef-37487e5f49d3","pdf_url":null,"source":{"id":"https://openalex.org/S7407055359","display_name":"Explore Bristol Research","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","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Wu, W, Cantero-Chinchilla, S, Yan, W, Ruano, M C, Remenyte-Prescott, R & Chronopoulos, D 2023, 'Damage Quantification and Identification in Structural Joints through Ultrasonic Guided Wave-Based Features and an Inverse Bayesian Scheme', Sensors, vol. 23, no. 8, 4160. https://doi.org/10.3390/s23084160","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:digibug.ugr.es:10481/82054","is_oa":true,"landing_page_url":"https://hdl.handle.net/10481/82054","pdf_url":"https://digibug.ugr.es/bitstream/10481/82054/1/sensors-23-04160.pdf","source":{"id":"https://openalex.org/S4306400567","display_name":"Institutional Repository of the University of Granada (University of Granada)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I173304897","host_organization_name":"Universidad de Granada","host_organization_lineage":["https://openalex.org/I173304897"],"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":"","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:lirias2repo.kuleuven.be:20.500.12942/721393","is_oa":true,"landing_page_url":"https://lirias.kuleuven.be/handle/20.500.12942/721393","pdf_url":"https://lirias.kuleuven.be/retrieve/7a525adb-4222-4bab-8de5-3da13773b0d4","source":{"id":"https://openalex.org/S4306401954","display_name":"Lirias (KU Leuven)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I99464096","host_organization_name":"KU Leuven","host_organization_lineage":["https://openalex.org/I99464096"],"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, vol. 23 (8), Art.No. ARTN 4160","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:nottingham-repository.worktribe.com:20008714","is_oa":true,"landing_page_url":"https://nottingham-repository.worktribe.com/output/20008714","pdf_url":"https://nottingham-repository.worktribe.com/file/20008714/1/sensors-23-04160","source":{"id":"https://openalex.org/S4306402483","display_name":"Repository@Nottingham (University of Nottingham)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I142263535","host_organization_name":"University of Nottingham","host_organization_lineage":["https://openalex.org/I142263535"],"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":null,"raw_type":"publishedVersion"},{"id":"pmh:oai:pubmedcentral.nih.gov:10144350","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10144350","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10144350/pdf/sensors-23-04160.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:d33373df758c4fecb5013649977795a8","is_oa":true,"landing_page_url":"https://doaj.org/article/d33373df758c4fecb5013649977795a8","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 8, p 4160 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/23/8/4160/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s23084160","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"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; Volume 23; Issue 8; Pages: 4160","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s23084160","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23084160","pdf_url":"https://www.mdpi.com/1424-8220/23/8/4160/pdf?version=1682069072","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":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4366771510.pdf"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W353562331","https://openalex.org/W1648841985","https://openalex.org/W1769978891","https://openalex.org/W1970551626","https://openalex.org/W1970686328","https://openalex.org/W1972023825","https://openalex.org/W1996262516","https://openalex.org/W2013744270","https://openalex.org/W2020003506","https://openalex.org/W2032558547","https://openalex.org/W2045396361","https://openalex.org/W2049309828","https://openalex.org/W2056760934","https://openalex.org/W2062258832","https://openalex.org/W2068112621","https://openalex.org/W2074427525","https://openalex.org/W2087528187","https://openalex.org/W2088141143","https://openalex.org/W2096975477","https://openalex.org/W2109356598","https://openalex.org/W2138309709","https://openalex.org/W2166670624","https://openalex.org/W2549778606","https://openalex.org/W2582165986","https://openalex.org/W2774162116","https://openalex.org/W2906419363","https://openalex.org/W2979536033","https://openalex.org/W2984071241","https://openalex.org/W3008114018","https://openalex.org/W3020326178","https://openalex.org/W3086234887","https://openalex.org/W3112611640","https://openalex.org/W3122455945","https://openalex.org/W3132807312","https://openalex.org/W3137701825","https://openalex.org/W3172994122","https://openalex.org/W3186165321","https://openalex.org/W3205423823","https://openalex.org/W4212810539","https://openalex.org/W4235292672","https://openalex.org/W4238694732","https://openalex.org/W4280624436","https://openalex.org/W4281607169","https://openalex.org/W4289515691","https://openalex.org/W4317935223","https://openalex.org/W6796825177"],"related_works":["https://openalex.org/W1968523686","https://openalex.org/W298893735","https://openalex.org/W2199291344","https://openalex.org/W2167342507","https://openalex.org/W4247222564","https://openalex.org/W2922348557","https://openalex.org/W2963889731","https://openalex.org/W3123380534","https://openalex.org/W4301368605","https://openalex.org/W4297623270"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"defect":[3,120],"detection":[4],"and":[5,59,71,77,143],"identification":[6,52,153],"in":[7,95,106,130,134,138],"aluminium":[8],"joints":[9,55],"is":[10,20,62,82,168],"investigated":[11],"based":[12,44],"on":[13,23,45],"guided":[14],"wave":[15,18,76],"monitoring.":[16],"Guided":[17],"testing":[19],"first":[21],"performed":[22],"the":[24,31,36,46,86,98,127,151,159,165],"selected":[25,47],"damage":[26,39,48,51,152],"feature":[27,49],"from":[28],"experiments,":[29],"namely,":[30],"scattering":[32,87,117],"coefficient,":[33],"to":[34,84,91,110,119,149],"prove":[35],"feasibility":[37],"of":[38,53,56,161],"identification.":[40],"A":[41,74],"Bayesian":[42],"framework":[43,66],"for":[50,68],"three-dimensional":[54],"arbitrary":[57],"shape":[58],"finite":[60,78],"size":[61,93],"then":[63],"presented.":[64],"This":[65,122],"accounts":[67],"both":[69],"modelling":[70],"experimental":[72,144],"uncertainties.":[73],"hybrid":[75],"element":[79],"approach":[80,100],"(WFE)":[81],"adopted":[83],"predict":[85],"coefficients":[88,118],"numerically":[89],"corresponding":[90],"different":[92],"defects":[94],"joints.":[96],"Moreover,":[97],"proposed":[99],"leverages":[101],"a":[102,112,135],"kriging":[103],"surrogate":[104],"model":[105,129],"combination":[107],"with":[108],"WFE":[109,125],"formulate":[111],"prediction":[113],"equation":[114,123],"that":[115],"links":[116],"size.":[121],"replaces":[124],"as":[126,170],"forward":[128],"probabilistic":[131],"inference,":[132],"resulting":[133],"significant":[136],"enhancement":[137],"computational":[139],"efficiency.":[140],"Finally,":[141],"numerical":[142],"case":[145],"studies":[146],"are":[147],"used":[148],"validate":[150],"scheme.":[154],"An":[155],"investigation":[156],"into":[157],"how":[158],"location":[160],"sensors":[162],"can":[163],"impact":[164],"identified":[166],"results":[167],"provided":[169],"well.":[171]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
