{"id":"https://openalex.org/W2022875485","doi":"https://doi.org/10.1080/00207720600891745","title":"Structural damage detection by integrating independent component analysis and support vector machine","display_name":"Structural damage detection by integrating independent component analysis and support vector machine","publication_year":2006,"publication_date":"2006-09-12","ids":{"openalex":"https://openalex.org/W2022875485","doi":"https://doi.org/10.1080/00207720600891745","mag":"2022875485"},"language":"en","primary_location":{"id":"doi:10.1080/00207720600891745","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00207720600891745","pdf_url":null,"source":{"id":"https://openalex.org/S129640837","display_name":"International Journal of Systems Science","issn_l":"0020-7721","issn":["0020-7721","1464-5319"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Systems Science","raw_type":"journal-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/A5069540038","display_name":"Huazhu Song","orcid":"https://orcid.org/0000-0003-3174-6203"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Huazhu Song","raw_affiliation_strings":["School of Computer Science and Technology, Wuhan University of Technology, Wuhan, Hubei 430070, PR China","School of Computer Science and Technology , Wuhan University of Technology , Wuhan , Hubei 430070, PR China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Wuhan University of Technology, Wuhan, Hubei 430070, PR China","institution_ids":["https://openalex.org/I196699116"]},{"raw_affiliation_string":"School of Computer Science and Technology , Wuhan University of Technology , Wuhan , Hubei 430070, PR China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102944452","display_name":"Luo Zhong","orcid":"https://orcid.org/0000-0001-6286-7740"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Luo Zhong","raw_affiliation_strings":["School of Computer Science and Technology, Wuhan University of Technology, Wuhan, Hubei 430070, PR China","School of Computer Science and Technology , Wuhan University of Technology , Wuhan , Hubei 430070, PR China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Wuhan University of Technology, Wuhan, Hubei 430070, PR China","institution_ids":["https://openalex.org/I196699116"]},{"raw_affiliation_string":"School of Computer Science and Technology , Wuhan University of Technology , Wuhan , Hubei 430070, PR China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047240103","display_name":"Bo Han","orcid":"https://orcid.org/0000-0002-6338-0958"},"institutions":[{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bo Han","raw_affiliation_strings":["Center for Information Science and Technology, Temple University, Philadelphia, PA 19122, USA","Center for Information Science and Technology, Temple University Philadelphia, PA 19122, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Information Science and Technology, Temple University, Philadelphia, PA 19122, USA","institution_ids":["https://openalex.org/I84392919"]},{"raw_affiliation_string":"Center for Information Science and Technology, Temple University Philadelphia, PA 19122, USA","institution_ids":["https://openalex.org/I84392919"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5069540038"],"corresponding_institution_ids":["https://openalex.org/I196699116"],"apc_list":null,"apc_paid":null,"fwci":3.2375,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.90685833,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"37","issue":"13","first_page":"961","last_page":"967"},"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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9940000176429749,"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":0.9909999966621399,"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/support-vector-machine","display_name":"Support vector machine","score":0.8436352014541626},{"id":"https://openalex.org/keywords/independent-component-analysis","display_name":"Independent component analysis","score":0.7976890206336975},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6319057941436768},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5866689682006836},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5843974351882935},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5747132301330566},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5268765091896057},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.5169247984886169},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5043240785598755},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4809771776199341},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4376845359802246}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.8436352014541626},{"id":"https://openalex.org/C51432778","wikidata":"https://www.wikidata.org/wiki/Q1259145","display_name":"Independent component analysis","level":2,"score":0.7976890206336975},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6319057941436768},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5866689682006836},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5843974351882935},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5747132301330566},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5268765091896057},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.5169247984886169},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5043240785598755},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4809771776199341},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4376845359802246},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/00207720600891745","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00207720600891745","pdf_url":null,"source":{"id":"https://openalex.org/S129640837","display_name":"International Journal of Systems Science","issn_l":"0020-7721","issn":["0020-7721","1464-5319"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Systems Science","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W177357870","https://openalex.org/W1663792126","https://openalex.org/W1965981339","https://openalex.org/W2023872052","https://openalex.org/W2045831595","https://openalex.org/W2047439860","https://openalex.org/W2100722180","https://openalex.org/W2108995755","https://openalex.org/W2159737176","https://openalex.org/W2166399999","https://openalex.org/W3026366630"],"related_works":["https://openalex.org/W2169896997","https://openalex.org/W2076305001","https://openalex.org/W169774068","https://openalex.org/W2099369243","https://openalex.org/W2345184372","https://openalex.org/W4223656335","https://openalex.org/W1974339308","https://openalex.org/W2160451891","https://openalex.org/W2041636156","https://openalex.org/W4242764575"],"abstract_inverted_index":{"Structural":[0],"damage":[1,90],"detection":[2,91],"in":[3,75],"an":[4,61],"early":[5],"stage":[6],"is":[7,38,96],"very":[8],"important":[9],"for":[10,60],"reducing":[11],"catastrophic":[12],"failures":[13],"and":[14,33,52,107,122],"prolonging":[15],"the":[16,79,82,87,93,102,112],"service":[17],"life":[18],"of":[19,72,81,89,101,124],"structures.":[20],"In":[21],"this":[22],"article,":[23],"a":[24],"novel":[25],"approach":[26,103],"that":[27,86,100],"integrates":[28],"independent":[29,44],"component":[30],"analysis":[31],"(ICA)":[32],"support":[34],"vector":[35],"machines":[36],"(SVMs)":[37],"presented.":[39],"The":[40,64],"procedure":[41],"involves":[42],"extracting":[43],"components":[45,56],"from":[46,70],"measured":[47],"sensor":[48],"data":[49,59,69],"through":[50],"ICA,":[51],"then":[53],"using":[54,92],"these":[55],"as":[57],"input":[58],"SVM":[62],"classifier.":[63],"experiment":[65],"presented":[66],"employs":[67],"benchmark":[68],"University":[71],"British":[73],"Columbia":[74],"order":[76],"to":[77,118],"examine":[78],"effectiveness":[80],"method.":[83],"Results":[84],"show":[85],"accuracy":[88],"proposed":[94],"method":[95],"significantly":[97],"better":[98],"than":[99],"by":[104],"integrating":[105],"ICA":[106],"artificial":[108],"neural":[109],"network.":[110],"Furthermore,":[111],"prediction":[113],"output":[114],"can":[115],"be":[116],"used":[117],"identify":[119],"different":[120],"types":[121],"levels":[123],"structure":[125],"damages.":[126]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}