{"id":"https://openalex.org/W1580508484","doi":"https://doi.org/10.1109/civemsa.2015.7158593","title":"Multivariable dynamic system fault diagnosis using nonlinear spectrum and SVM fusion","display_name":"Multivariable dynamic system fault diagnosis using nonlinear spectrum and SVM fusion","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W1580508484","doi":"https://doi.org/10.1109/civemsa.2015.7158593","mag":"1580508484"},"language":"en","primary_location":{"id":"doi:10.1109/civemsa.2015.7158593","is_oa":false,"landing_page_url":"https://doi.org/10.1109/civemsa.2015.7158593","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","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/A5100638385","display_name":"Jialiang Zhang","orcid":"https://orcid.org/0000-0002-5087-3753"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jialiang Zhang","raw_affiliation_strings":["Systems Engineering, Xi'an Jiaotong University, Xi'an, China","State key Laboratory for Manufacturing Systems Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China"],"affiliations":[{"raw_affiliation_string":"Systems Engineering, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"State key Laboratory for Manufacturing Systems Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100686173","display_name":"Jianfu Cao","orcid":null},"institutions":[{"id":"https://openalex.org/I69356397","display_name":"Xi\u2019an Jiaotong-Liverpool University","ror":"https://ror.org/03zmrmn05","country_code":"CN","type":"education","lineage":["https://openalex.org/I69356397"]},{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianfu Cao","raw_affiliation_strings":["Suzhou Academy, Xi'an Jiaotong University, Suzhou, China","State key Laboratory for Manufacturing Systems Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China"],"affiliations":[{"raw_affiliation_string":"Suzhou Academy, Xi'an Jiaotong University, Suzhou, China","institution_ids":["https://openalex.org/I69356397","https://openalex.org/I87445476"]},{"raw_affiliation_string":"State key Laboratory for Manufacturing Systems Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048293972","display_name":"Feng Gao","orcid":"https://orcid.org/0000-0002-4969-5195"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Gao","raw_affiliation_strings":["Systems Engineering, Xi'an Jiaotong University, Xi'an, China","State key Laboratory for Manufacturing Systems Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China"],"affiliations":[{"raw_affiliation_string":"Systems Engineering, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"State key Laboratory for Manufacturing Systems Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100638385"],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":0.6732,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.72731097,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9991999864578247,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9991999864578247,"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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9902999997138977,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9857000112533569,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6402985453605652},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6370306015014648},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.5965182781219482},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5896131992340088},{"id":"https://openalex.org/keywords/kernel-principal-component-analysis","display_name":"Kernel principal component analysis","score":0.5852314829826355},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5761838555335999},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4918208122253418},{"id":"https://openalex.org/keywords/multivariable-calculus","display_name":"Multivariable calculus","score":0.49140465259552},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4360438585281372},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.43545156717300415},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4351613521575928},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.3767344057559967},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.35057228803634644},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3216358423233032},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1475207805633545},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.06128978729248047}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6402985453605652},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6370306015014648},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.5965182781219482},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5896131992340088},{"id":"https://openalex.org/C182335926","wikidata":"https://www.wikidata.org/wiki/Q17093020","display_name":"Kernel principal component analysis","level":4,"score":0.5852314829826355},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5761838555335999},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4918208122253418},{"id":"https://openalex.org/C117312493","wikidata":"https://www.wikidata.org/wiki/Q2035437","display_name":"Multivariable calculus","level":2,"score":0.49140465259552},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4360438585281372},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.43545156717300415},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4351613521575928},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.3767344057559967},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35057228803634644},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3216358423233032},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1475207805633545},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.06128978729248047},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/civemsa.2015.7158593","is_oa":false,"landing_page_url":"https://doi.org/10.1109/civemsa.2015.7158593","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1596717185","https://openalex.org/W1974620436","https://openalex.org/W2003777273","https://openalex.org/W2009700261","https://openalex.org/W2015437273","https://openalex.org/W2028063358","https://openalex.org/W2050323089","https://openalex.org/W2053775118","https://openalex.org/W2056469441","https://openalex.org/W2062601588","https://openalex.org/W2063446855","https://openalex.org/W2072378835","https://openalex.org/W2072713266","https://openalex.org/W2074075646","https://openalex.org/W2078735512","https://openalex.org/W2079557485","https://openalex.org/W2082201849","https://openalex.org/W2082893893","https://openalex.org/W2102832680","https://openalex.org/W2136153540","https://openalex.org/W2140095548","https://openalex.org/W2373694687"],"related_works":["https://openalex.org/W129546092","https://openalex.org/W7466803","https://openalex.org/W1984421104","https://openalex.org/W2512565647","https://openalex.org/W2001772920","https://openalex.org/W2393746448","https://openalex.org/W2905418897","https://openalex.org/W2534878021","https://openalex.org/W2398887903","https://openalex.org/W1998640076"],"abstract_inverted_index":{"The":[0],"fault":[1,126],"diagnosis":[2,127],"of":[3,28,74,79,87],"multivariable":[4],"dynamic":[5],"system":[6],"is":[7,42,82,107,118],"studied":[8],"by":[9,60],"combining":[10],"nonlinear":[11,36,46,51],"spectrum":[12,47,53,56,75],"and":[13,71,109],"support":[14,102],"vector":[15,103],"machine":[16,104],"fusion":[17,106,111],"method.":[18,65],"In":[19],"order":[20],"to":[21,44,91],"overcome":[22],"the":[23,34,55,110,124],"calculated":[24],"amount":[25],"expansion":[26],"problem":[27],"generalized":[29],"frequency":[30,38,52,93],"response":[31,39],"function":[32,40,81,86],"(GFRF),":[33],"one-dimensional":[35],"output":[37],"(NOFRF)":[41],"used":[43,83],"obtained":[45],"data.":[48],"After":[49],"obtaining":[50],"data,":[54,76],"features":[57],"are":[58],"extracted":[59],"kernel":[61,85],"principal":[62],"component":[63],"analysis(KPCA)":[64],"To":[66],"fully":[67],"consider":[68],"global":[69],"characteristics":[70,73],"local":[72],"a":[77,97],"kind":[78],"mixed":[80],"as":[84],"KPCA":[88],"model.":[89],"According":[90],"different":[92],"domain":[94],"scale":[95],"characteristics,":[96],"multi-fault":[98],"classifier":[99],"based":[100,113],"on":[101,114],"(SVM)":[105],"constructed,":[108],"method":[112,128],"sub-classifier":[115],"classification":[116],"reliability":[117],"proposed.":[119],"Experiment":[120],"results":[121],"indicate":[122],"that":[123,134],"proposed":[125],"has":[129,136],"higher":[130],"recognition":[131],"rate":[132],"so":[133],"it":[135],"important":[137],"practical":[138],"value.":[139]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
