{"id":"https://openalex.org/W2913340828","doi":"https://doi.org/10.3233/978-1-61499-939-3-175","title":"Study on the Dependency of SHM Sensors' Online Calibration on Excitation Sources","display_name":"Study on the Dependency of SHM Sensors' Online Calibration on Excitation Sources","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2913340828","doi":"https://doi.org/10.3233/978-1-61499-939-3-175","mag":"2913340828"},"language":"en","primary_location":{"id":"doi:10.3233/978-1-61499-939-3-175","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-61499-939-3-175","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","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/A5016857432","display_name":"Genqiang Jing","orcid":"https://orcid.org/0000-0001-7670-7051"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Jing Genqiang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Duan Fajie","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Duan Fajie","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100390213","display_name":"Zhen Zhang","orcid":"https://orcid.org/0000-0003-4698-8125"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang Zhen","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109085386","display_name":"Wang Shu-hui","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang Shuhui","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5047145263","display_name":"Zhu Luo","orcid":"https://orcid.org/0000-0001-8848-9354"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Luo Zhu","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5016857432"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03450808,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14225","display_name":"Advanced Sensor and Control Systems","score":0.9290000200271606,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T14225","display_name":"Advanced Sensor and Control Systems","score":0.9290000200271606,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10369","display_name":"Advanced MEMS and NEMS Technologies","score":0.9192000031471252,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T14158","display_name":"Optical Systems and Laser Technology","score":0.9174000024795532,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/dependency","display_name":"Dependency (UML)","score":0.7989344596862793},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.6897425651550293},{"id":"https://openalex.org/keywords/excitation","display_name":"Excitation","score":0.5013165473937988},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.45298466086387634},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.4345981478691101},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4177374243736267},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3522246479988098},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.2176988422870636},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1985681653022766},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.18986937403678894},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15729403495788574},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.14196354150772095},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10705378651618958},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.0991101861000061}],"concepts":[{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.7989344596862793},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.6897425651550293},{"id":"https://openalex.org/C83581075","wikidata":"https://www.wikidata.org/wiki/Q1361503","display_name":"Excitation","level":2,"score":0.5013165473937988},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.45298466086387634},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.4345981478691101},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4177374243736267},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3522246479988098},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.2176988422870636},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1985681653022766},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.18986937403678894},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15729403495788574},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.14196354150772095},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10705378651618958},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0991101861000061}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/978-1-61499-939-3-175","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-61499-939-3-175","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2067317451","https://openalex.org/W2154771632","https://openalex.org/W4211085505","https://openalex.org/W3122478268","https://openalex.org/W2084758217","https://openalex.org/W408804804","https://openalex.org/W4231021675","https://openalex.org/W3086365953","https://openalex.org/W4226072953","https://openalex.org/W2392606101"],"abstract_inverted_index":{"Sensors":[0],"used":[1],"in":[2,20],"structural":[3],"health":[4],"monitoring":[5],"(SHM)":[6],"are":[7],"key":[8],"units":[9],"for":[10,22],"data":[11],"collection.":[12],"However,":[13],"their":[14],"performance":[15],"cannot":[16],"be":[17],"easily":[18],"confirmed":[19],"situ":[21],"the":[23,36,51,99,102],"absence":[24],"of":[25,53,104,114],"proper":[26],"excitation":[27,46,59,81,105],"sources.":[28],"We":[29,48,88],"present":[30],"a":[31,57,73,84,90],"calibrating":[32,54,112],"method":[33],"by":[34,39,83,93],"which":[35,96],"load":[37],"combination":[38],"traffic":[40],"vehicles":[41],"is":[42,70],"recommended":[43],"as":[44],"an":[45],"source.":[47],"then":[49],"demonstrate":[50],"stability":[52,68],"results":[55,113],"under":[56,79],"random":[58,62,65,80],"source,":[60],"i.e.,":[61],"frequency":[63,100],"and":[64,101],"amplitude.":[66],"The":[67],"experiment":[69],"performed":[71],"with":[72],"simply":[74],"supported":[75],"beam":[76],"bridge":[77],"model":[78],"simulated":[82],"programmable":[85],"linear":[86],"module.":[87],"conduct":[89],"dependency":[91],"analysis":[92],"two-way":[94],"ANOVA,":[95],"shows":[97],"that":[98],"amplitude":[103],"source":[106],"have":[107],"no":[108],"significant":[109],"effect":[110],"on":[111],"sensors.":[115]},"counts_by_year":[],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}