{"id":"https://openalex.org/W3197637965","doi":"https://doi.org/10.1155/2021/3668726","title":"Optimization of Damage Equivalent Accelerated Test Spectrum Derivation Using Multiple Non\u2010Gaussian Vibration Data","display_name":"Optimization of Damage Equivalent Accelerated Test Spectrum Derivation Using Multiple Non\u2010Gaussian Vibration Data","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3197637965","doi":"https://doi.org/10.1155/2021/3668726","mag":"3197637965"},"language":"en","primary_location":{"id":"doi:10.1155/2021/3668726","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/3668726","pdf_url":"https://downloads.hindawi.com/journals/js/2021/3668726.pdf","source":{"id":"https://openalex.org/S96783963","display_name":"Journal of Sensors","issn_l":"1687-725X","issn":["1687-725X","1687-7268"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/js/2021/3668726.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100746419","display_name":"Fei Xu","orcid":"https://orcid.org/0000-0001-9501-5085"},"institutions":[{"id":"https://openalex.org/I4210157719","display_name":"Yancheng Institute of Technology","ror":"https://ror.org/04y8njc86","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210157719"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fei Xu","raw_affiliation_strings":["School of Automotive Engineering, Yancheng Institute of Technology, Yancheng 224051, China"],"raw_orcid":"https://orcid.org/0000-0001-9501-5085","affiliations":[{"raw_affiliation_string":"School of Automotive Engineering, Yancheng Institute of Technology, Yancheng 224051, China","institution_ids":["https://openalex.org/I4210157719"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061573518","display_name":"Kjell Ahlin","orcid":"https://orcid.org/0000-0001-6698-3087"},"institutions":[{"id":"https://openalex.org/I52719799","display_name":"Blekinge Institute of Technology","ror":"https://ror.org/0093a8w51","country_code":"SE","type":"education","lineage":["https://openalex.org/I52719799"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Kjell Ahlin","raw_affiliation_strings":["Professor Emeritus Blekinge Tekniska Hgskola, 371 79 Karlskrona, Sweden","Professor Emeritus Blekinge Tekniska H\u00f6gskola, 371 79 Karlskrona, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Professor Emeritus Blekinge Tekniska Hgskola, 371 79 Karlskrona, Sweden","institution_ids":["https://openalex.org/I52719799"]},{"raw_affiliation_string":"Professor Emeritus Blekinge Tekniska H\u00f6gskola, 371 79 Karlskrona, Sweden","institution_ids":["https://openalex.org/I52719799"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048220008","display_name":"Binyi Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210132539","display_name":"Northwest Institute of Mechanical and Electrical Engineering","ror":"https://ror.org/03pz37k82","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210132539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Binyi Wang","raw_affiliation_strings":["Northwest Institute of Mechanical and Electrical Engineering, Xianyang 712000 Shaanxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwest Institute of Mechanical and Electrical Engineering, Xianyang 712000 Shaanxi, China","institution_ids":["https://openalex.org/I4210132539"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100746419"],"corresponding_institution_ids":["https://openalex.org/I4210157719"],"apc_list":{"value":2375,"currency":"USD","value_usd":2375},"apc_paid":{"value":2375,"currency":"USD","value_usd":2375},"fwci":0.3554,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.54786621,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"2021","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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"}},{"id":"https://openalex.org/T10396","display_name":"Fatigue and fracture mechanics","score":0.9954000115394592,"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/T10662","display_name":"Ultrasonics and Acoustic Wave Propagation","score":0.9940999746322632,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/spectral-density","display_name":"Spectral density","score":0.6926157474517822},{"id":"https://openalex.org/keywords/random-vibration","display_name":"Random vibration","score":0.6594027876853943},{"id":"https://openalex.org/keywords/envelope","display_name":"Envelope (radar)","score":0.6415368318557739},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.6157141923904419},{"id":"https://openalex.org/keywords/vibration","display_name":"Vibration","score":0.5750241279602051},{"id":"https://openalex.org/keywords/response-spectrum","display_name":"Response spectrum","score":0.5045021772384644},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4818200170993805},{"id":"https://openalex.org/keywords/gaussian-random-field","display_name":"Gaussian random field","score":0.4729742109775543},{"id":"https://openalex.org/keywords/spectrum","display_name":"Spectrum (functional analysis)","score":0.46429142355918884},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4382625222206116},{"id":"https://openalex.org/keywords/test-data","display_name":"Test data","score":0.4127733111381531},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.39209744334220886},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3419671654701233},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.2992711663246155},{"id":"https://openalex.org/keywords/structural-engineering","display_name":"Structural engineering","score":0.28523606061935425},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.2693924307823181},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.25617945194244385},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.19773462414741516},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17052900791168213},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.12337997555732727}],"concepts":[{"id":"https://openalex.org/C168110828","wikidata":"https://www.wikidata.org/wiki/Q1331626","display_name":"Spectral density","level":2,"score":0.6926157474517822},{"id":"https://openalex.org/C130076159","wikidata":"https://www.wikidata.org/wiki/Q7291997","display_name":"Random vibration","level":3,"score":0.6594027876853943},{"id":"https://openalex.org/C65155139","wikidata":"https://www.wikidata.org/wiki/Q5380912","display_name":"Envelope (radar)","level":3,"score":0.6415368318557739},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.6157141923904419},{"id":"https://openalex.org/C198394728","wikidata":"https://www.wikidata.org/wiki/Q3695508","display_name":"Vibration","level":2,"score":0.5750241279602051},{"id":"https://openalex.org/C56625316","wikidata":"https://www.wikidata.org/wiki/Q3492878","display_name":"Response spectrum","level":2,"score":0.5045021772384644},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4818200170993805},{"id":"https://openalex.org/C51267290","wikidata":"https://www.wikidata.org/wiki/Q5527848","display_name":"Gaussian random field","level":4,"score":0.4729742109775543},{"id":"https://openalex.org/C156778621","wikidata":"https://www.wikidata.org/wiki/Q1365748","display_name":"Spectrum (functional analysis)","level":2,"score":0.46429142355918884},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4382625222206116},{"id":"https://openalex.org/C16910744","wikidata":"https://www.wikidata.org/wiki/Q7705759","display_name":"Test data","level":2,"score":0.4127733111381531},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.39209744334220886},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3419671654701233},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.2992711663246155},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.28523606061935425},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2693924307823181},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.25617945194244385},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.19773462414741516},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17052900791168213},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.12337997555732727},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1155/2021/3668726","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/3668726","pdf_url":"https://downloads.hindawi.com/journals/js/2021/3668726.pdf","source":{"id":"https://openalex.org/S96783963","display_name":"Journal of Sensors","issn_l":"1687-725X","issn":["1687-725X","1687-7268"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Sensors","raw_type":"journal-article"},{"id":"pmh:oai:DiVA.org:bth-22175","is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:bth-22175","pdf_url":null,"source":{"id":"https://openalex.org/S4306401559","display_name":"KTH Publication Database DiVA (KTH Royal Institute of Technology)","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:doaj.org/article:b4c9b5ad7eb143fc8f967c5f7fb4b70e","is_oa":true,"landing_page_url":"https://doaj.org/article/b4c9b5ad7eb143fc8f967c5f7fb4b70e","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":"Journal of Sensors, Vol 2021 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2021/3668726","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/3668726","pdf_url":"https://downloads.hindawi.com/journals/js/2021/3668726.pdf","source":{"id":"https://openalex.org/S96783963","display_name":"Journal of Sensors","issn_l":"1687-725X","issn":["1687-725X","1687-7268"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1013268664","display_name":null,"funder_award_id":"xjr2019036","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6866371400","display_name":null,"funder_award_id":"xjr2019036","funder_id":"https://openalex.org/F4320313216","funder_display_name":"Yancheng Institute of Technology"},{"id":"https://openalex.org/G8089493128","display_name":null,"funder_award_id":"52102443","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320313216","display_name":"Yancheng Institute of Technology","ror":"https://ror.org/04y8njc86"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3197637965.pdf","grobid_xml":"https://content.openalex.org/works/W3197637965.grobid-xml"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W137007952","https://openalex.org/W2059318089","https://openalex.org/W2081772387","https://openalex.org/W2177113502","https://openalex.org/W2215042729","https://openalex.org/W2411000550","https://openalex.org/W2440277474","https://openalex.org/W2507739232","https://openalex.org/W2567233472","https://openalex.org/W2614199786","https://openalex.org/W2619086830","https://openalex.org/W2740669357","https://openalex.org/W2755162283","https://openalex.org/W2765784927","https://openalex.org/W2782824255","https://openalex.org/W2795871327","https://openalex.org/W2906215044","https://openalex.org/W2992950363","https://openalex.org/W2999771819","https://openalex.org/W3133003684","https://openalex.org/W3170521725","https://openalex.org/W3175750748","https://openalex.org/W4236989906","https://openalex.org/W4285719527","https://openalex.org/W6724995076","https://openalex.org/W6991063478"],"related_works":["https://openalex.org/W3200008745","https://openalex.org/W1977123013","https://openalex.org/W1594339520","https://openalex.org/W2376587556","https://openalex.org/W2794512594","https://openalex.org/W2386837132","https://openalex.org/W2782824255","https://openalex.org/W3201034085","https://openalex.org/W1965492443","https://openalex.org/W3197637965"],"abstract_inverted_index":{"The":[0,24,73,153,170],"response":[1,75,119],"spectra":[2],"are":[3],"widely":[4],"used":[5],"in":[6,70,117],"the":[7,16,27,41,45,80,87,91,111,118,129,142,146,150,164,183,190],"damage":[8,19,100,134],"assessment":[9],"of":[10,18,26,44,52,65,79,114,132,149,167],"non\u2010Gaussian":[11],"random":[12],"vibration":[13],"environments":[14],"and":[15,40,62,90,99,192],"derivation":[17,56],"equivalent":[20,101],"accelerated":[21,53],"test":[22,54,105],"spectrum.":[23],"effectiveness":[25],"latter":[28],"is":[29,68,83,107,138,173,185],"strongly":[30],"affected":[31],"by":[32,145,163],"modal":[33],"parameter":[34,60],"uncertainties,":[35],"multiple":[36],"field":[37,81],"data":[38,82],"processing,":[39],"nonsmooth":[42,147],"shape":[43,148],"derived":[46,151],"power":[47],"spectral":[48],"density":[49],"(PSD).":[50],"Optimization":[51],"spectrum":[55,66,76,120,135],"based":[57,127],"on":[58,128],"dynamic":[59,112,165],"selection":[61,113,166],"iterative":[63,124],"update":[64,125],"envelope":[67,78],"presented":[69,139],"this":[71],"paper.":[72],"extreme":[74],"(ERS)":[77],"firstly":[84],"taken":[85],"as":[86],"limiting":[88],"spectrum,":[89],"corresponding":[92],"relationship":[93],"between":[94],"damping":[95],"coefficient,":[96],"fatigue":[97,133],"exponent,":[98],"PSD":[102],"under":[103],"different":[104],"times":[106],"constructed":[108],"to":[109,140,177,187],"achieve":[110],"uncertain":[115],"parameters":[116],"model.":[121],"Then,":[122],"an":[123],"model":[126,168],"weighted":[130,171],"sum":[131],"(FDS)":[136],"error":[137,143,172,184],"reduce":[141],"introduced":[144],"PSD.":[152],"case":[154],"study":[155],"shows":[156],"that":[157],"undertest":[158],"can":[159],"be":[160],"effectively":[161],"avoided":[162],"parameters.":[169],"reduced":[174],"from":[175],"80.1%":[176],"7.5%":[178],"after":[179],"7":[180],"iterations.":[181],"Particularly,":[182],"close":[186],"0":[188],"within":[189],"peak":[191],"valley":[193],"frequency":[194],"band.":[195]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}
