{"id":"https://openalex.org/W3127782373","doi":"https://doi.org/10.3233/jifs-201803","title":"Fault detection in mixture production process based on wavelet packet and support vector machine","display_name":"Fault detection in mixture production process based on wavelet packet and support vector machine","publication_year":2021,"publication_date":"2021-02-09","ids":{"openalex":"https://openalex.org/W3127782373","doi":"https://doi.org/10.3233/jifs-201803","mag":"3127782373"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-201803","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-201803","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy Systems","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/A5102909463","display_name":"Yan Chen","orcid":"https://orcid.org/0000-0001-9294-0128"},"institutions":[{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Chen","raw_affiliation_strings":["School of Foreign Studies, Chang\u2019an University, Xi\u2019an, China","School of Information Engineering, Chang\u2019an University, Xi\u2019an, China","School of Information Engineering, Chang'an University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Foreign Studies, Chang\u2019an University, Xi\u2019an, China","institution_ids":["https://openalex.org/I25355098"]},{"raw_affiliation_string":"School of Information Engineering, Chang\u2019an University, Xi\u2019an, China","institution_ids":["https://openalex.org/I25355098"]},{"raw_affiliation_string":"School of Information Engineering, Chang'an University, Xi'an, China","institution_ids":["https://openalex.org/I25355098"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008672520","display_name":"Huansheng Song","orcid":"https://orcid.org/0000-0002-8590-0061"},"institutions":[{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Huan-sheng song","raw_affiliation_strings":["School of Information Engineering, Chang\u2019an University, Xi\u2019an, China","School of Information Engineering, Chang'an University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Chang\u2019an University, Xi\u2019an, China","institution_ids":["https://openalex.org/I25355098"]},{"raw_affiliation_string":"School of Information Engineering, Chang'an University, Xi'an, China","institution_ids":["https://openalex.org/I25355098"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101503950","display_name":"Yanni Yang","orcid":"https://orcid.org/0000-0002-8378-3543"},"institutions":[{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan-ni yang","raw_affiliation_strings":["School of Information Engineering, Chang\u2019an University, Xi\u2019an, China","School of Information Engineering, Chang'an University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Chang\u2019an University, Xi\u2019an, China","institution_ids":["https://openalex.org/I25355098"]},{"raw_affiliation_string":"School of Information Engineering, Chang'an University, Xi'an, China","institution_ids":["https://openalex.org/I25355098"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030339490","display_name":"Gang-feng wang","orcid":null},"institutions":[{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang-feng wang","raw_affiliation_strings":["School of Foreign Studies, Chang\u2019an University, Xi\u2019an, China","School of Foreign Studies, Chang'an University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Foreign Studies, Chang\u2019an University, Xi\u2019an, China","institution_ids":["https://openalex.org/I25355098"]},{"raw_affiliation_string":"School of Foreign Studies, Chang'an University, Xi'an, China","institution_ids":["https://openalex.org/I25355098"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5008672520"],"corresponding_institution_ids":["https://openalex.org/I25355098"],"apc_list":null,"apc_paid":null,"fwci":0.9215,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.7074414,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"40","issue":"5","first_page":"10235","last_page":"10249"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9994999766349792,"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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9994999766349792,"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/T10264","display_name":"Asphalt Pavement Performance Evaluation","score":0.9965999722480774,"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/T12086","display_name":"Structural Integrity and Reliability Analysis","score":0.9490000009536743,"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":0.7245778441429138},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6365415453910828},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6328808069229126},{"id":"https://openalex.org/keywords/wavelet-packet-decomposition","display_name":"Wavelet packet decomposition","score":0.620130181312561},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5712324976921082},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5444823503494263},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5228350758552551},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4863484501838684},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.46955424547195435},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.46865716576576233},{"id":"https://openalex.org/keywords/fault-detection-and-isolation","display_name":"Fault detection and isolation","score":0.4302785098552704},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.240261048078537}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7245778441429138},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6365415453910828},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6328808069229126},{"id":"https://openalex.org/C155777637","wikidata":"https://www.wikidata.org/wiki/Q2736187","display_name":"Wavelet packet decomposition","level":4,"score":0.620130181312561},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5712324976921082},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5444823503494263},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5228350758552551},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4863484501838684},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.46955424547195435},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.46865716576576233},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.4302785098552704},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.240261048078537},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","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},{"id":"https://openalex.org/C172707124","wikidata":"https://www.wikidata.org/wiki/Q423488","display_name":"Actuator","level":2,"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":1,"locations":[{"id":"doi:10.3233/jifs-201803","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-201803","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy Systems","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":50,"referenced_works":["https://openalex.org/W277331452","https://openalex.org/W1995130521","https://openalex.org/W2000827085","https://openalex.org/W2004039783","https://openalex.org/W2010186890","https://openalex.org/W2020955281","https://openalex.org/W2050110365","https://openalex.org/W2052593171","https://openalex.org/W2058983449","https://openalex.org/W2059115408","https://openalex.org/W2068057588","https://openalex.org/W2070341023","https://openalex.org/W2070793613","https://openalex.org/W2087273325","https://openalex.org/W2136199087","https://openalex.org/W2162747417","https://openalex.org/W2296172419","https://openalex.org/W2310612427","https://openalex.org/W2460369835","https://openalex.org/W2508483375","https://openalex.org/W2547719985","https://openalex.org/W2548002040","https://openalex.org/W2610288532","https://openalex.org/W2761132846","https://openalex.org/W2766661030","https://openalex.org/W2789384736","https://openalex.org/W2793395501","https://openalex.org/W2799400737","https://openalex.org/W2898248030","https://openalex.org/W2911418581","https://openalex.org/W2924868743","https://openalex.org/W2932115805","https://openalex.org/W2945696808","https://openalex.org/W2954455075","https://openalex.org/W2963080583","https://openalex.org/W2963159597","https://openalex.org/W2969120995","https://openalex.org/W2979048634","https://openalex.org/W2994105005","https://openalex.org/W2996954769","https://openalex.org/W2999481466","https://openalex.org/W3005302330","https://openalex.org/W3009613663","https://openalex.org/W3124348269","https://openalex.org/W3150011545","https://openalex.org/W3152245996","https://openalex.org/W6697408232","https://openalex.org/W6724879210","https://openalex.org/W6770328942","https://openalex.org/W6794357274"],"related_works":["https://openalex.org/W4233511069","https://openalex.org/W2001666425","https://openalex.org/W2046633342","https://openalex.org/W2358883208","https://openalex.org/W2370050053","https://openalex.org/W2372936409","https://openalex.org/W53954450","https://openalex.org/W2365287829","https://openalex.org/W2389645710","https://openalex.org/W2379553594"],"abstract_inverted_index":{"Mixture":[0],"production":[1,52,178,224],"equipment":[2],"is":[3,16,54,57,88,109,125,194],"widely":[4],"employed":[5],"in":[6,49,99,175,215],"road":[7,25],"construction,":[8],"and":[9,36,64,79,95,122,171],"the":[10,13,17,22,29,32,38,50,93,110,119,129,139,161,176,188,198,235],"quality":[11,23,30],"of":[12,24,31,40,166,169,218,222],"produced":[14,34,186,226],"mixture":[15,35,51,177,223],"essential":[18],"factor":[19],"to":[20,90,127,147,231],"ensure":[21],"construction.":[26],"To":[27],"detect":[28],"real-time":[33],"solve":[37],"shortcomings":[39],"laboratory":[41],"detection":[42,47,242],"lag,":[43],"a":[44,116,239],"new":[45],"fault":[46],"method":[48,117,190,200,207],"process":[53],"proposed,":[55],"which":[56],"based":[58],"on":[59],"wavelet":[60,85,106],"packet":[61,107],"decomposition":[62],"(WPD)":[63],"support":[65],"vector":[66],"machine":[67],"(SVM).":[68],"The":[69,101,180],"proposed":[70,236],"scheme":[71],"includes":[72],"feature":[73,75,83,114,131,141],"extraction,":[74,84],"selection,":[76,115],"SVM":[77,143,205],"classification,":[78],"optimization":[80],"algorithm.":[81,159],"During":[82,113],"basis":[86],"function":[87],"utilized":[89],"4-layer":[91],"decompose":[92],"aggregate":[94],"asphalt":[96,172],"data":[97],"mixed":[98],"real-time.":[100],"energy":[102],"value":[103],"calculated":[104],"by":[105,137,155,187,209,227],"coefficient":[108],"extracted":[111],"feature.":[112],"combining":[118],"chi-square":[120],"test":[121,162],"wrapper":[123],"(CSW)":[124],"conducted":[126],"select":[128],"optimal":[130,140],"subset":[132],"from":[133],"WPD":[134,192],"features.":[135],"Eventually,":[136],"adopting":[138],"subset,":[142],"has":[144,238],"been":[145],"developed":[146],"classify":[148],"various":[149],"faults.":[150],"Its":[151],"parameters":[152],"are":[153,173],"optimized":[154,208],"differential":[156],"evolution":[157],"(DE)":[158],"In":[160],"stage,":[163],"multiple":[164],"faults":[165,225],"different":[167,220,228],"specifications":[168],"aggregates":[170],"detected":[174],"process.":[179],"results":[181],"demonstrate":[182],"that":[183],"(1)":[184],"accuracy":[185,217],"CSW":[189],"with":[191,201],"features":[193],"4.33%":[195],"higher":[196],"than":[197],"PCA":[199],"statistical":[202],"features;":[203],"(2)":[204],"classification":[206],"DE":[210],"algorithm":[211,237],"brings":[212],"an":[213],"increase":[214],"recognition":[216],"identifying":[219],"types":[221],"equipment.":[229],"Compared":[230],"other":[232],"available":[233],"methods,":[234],"very":[240],"outstanding":[241],"performance.":[243]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
