{"id":"https://openalex.org/W2894151484","doi":"https://doi.org/10.1504/ijcsm.2018.10016502","title":"Research on pipeline blocking state recognition algorithm based on mixed domain feature and KPCA-ELM","display_name":"Research on pipeline blocking state recognition algorithm based on mixed domain feature and KPCA-ELM","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2894151484","doi":"https://doi.org/10.1504/ijcsm.2018.10016502","mag":"2894151484"},"language":"en","primary_location":{"id":"doi:10.1504/ijcsm.2018.10016502","is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijcsm.2018.10016502","pdf_url":null,"source":{"id":"https://openalex.org/S84141356","display_name":"International Journal of Computing Science and Mathematics","issn_l":"1752-5055","issn":["1752-5055","1752-5063"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310317825","host_organization_name":"Inderscience Publishers","host_organization_lineage":["https://openalex.org/P4310317825"],"host_organization_lineage_names":["Inderscience Publishers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computing Science and Mathematics","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/A5100382667","display_name":"Xiaodong Wang","orcid":"https://orcid.org/0000-0002-4533-6734"},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]},{"id":"https://openalex.org/I4210144930","display_name":"Baoshan University","ror":"https://ror.org/04t69c375","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210144930"]},{"id":"https://openalex.org/I4210149647","display_name":"Yunnan Metallurgical Group (China)","ror":"https://ror.org/050wwwp73","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210149647"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaodong Wang","raw_affiliation_strings":["Faculty of Information Engineering and Automation, Kunming University of Science and Technology, 650500, Kunming, China; Engineering Research Center for Mineral Pipeline, Transportation of Yunnan Province, 650500, Kunming, China; School of Information, Baoshan University, Baoshan, 678000, Yunnan, China","Engineering Research Center for Mineral Pipeline, Transportation of Yunnan Province, 650500, Kunming, China","Faculty of Information Engineering and Automation, Kunming University of Science and Technology, 650500, Kunming, China","School of Information, Baoshan University, Baoshan, 678000, Yunnan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Engineering and Automation, Kunming University of Science and Technology, 650500, Kunming, China; Engineering Research Center for Mineral Pipeline, Transportation of Yunnan Province, 650500, Kunming, China; School of Information, Baoshan University, Baoshan, 678000, Yunnan, China","institution_ids":["https://openalex.org/I10660446","https://openalex.org/I4210144930"]},{"raw_affiliation_string":"Engineering Research Center for Mineral Pipeline, Transportation of Yunnan Province, 650500, Kunming, China","institution_ids":["https://openalex.org/I4210149647"]},{"raw_affiliation_string":"Faculty of Information Engineering and Automation, Kunming University of Science and Technology, 650500, Kunming, China","institution_ids":["https://openalex.org/I10660446"]},{"raw_affiliation_string":"School of Information, Baoshan University, Baoshan, 678000, Yunnan, China","institution_ids":["https://openalex.org/I4210144930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091521708","display_name":"Guoyong Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]},{"id":"https://openalex.org/I4210144930","display_name":"Baoshan University","ror":"https://ror.org/04t69c375","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210144930"]},{"id":"https://openalex.org/I4210149647","display_name":"Yunnan Metallurgical Group (China)","ror":"https://ror.org/050wwwp73","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210149647"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoyong Huang","raw_affiliation_strings":["Faculty of Information Engineering and Automation, Kunming University of Science and Technology, 650500, Kunming, China; Engineering Research Center for Mineral Pipeline, Transportation of Yunnan Province, 650500, Kunming, China; School of Information, Baoshan University, Baoshan, 678000, Yunnan, China","Engineering Research Center for Mineral Pipeline, Transportation of Yunnan Province, 650500, Kunming, China","Faculty of Information Engineering and Automation, Kunming University of Science and Technology, 650500, Kunming, China","School of Information, Baoshan University, Baoshan, 678000, Yunnan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Engineering and Automation, Kunming University of Science and Technology, 650500, Kunming, China; Engineering Research Center for Mineral Pipeline, Transportation of Yunnan Province, 650500, Kunming, China; School of Information, Baoshan University, Baoshan, 678000, Yunnan, China","institution_ids":["https://openalex.org/I10660446","https://openalex.org/I4210144930"]},{"raw_affiliation_string":"Engineering Research Center for Mineral Pipeline, Transportation of Yunnan Province, 650500, Kunming, China","institution_ids":["https://openalex.org/I4210149647"]},{"raw_affiliation_string":"Faculty of Information Engineering and Automation, Kunming University of Science and Technology, 650500, Kunming, China","institution_ids":["https://openalex.org/I10660446"]},{"raw_affiliation_string":"School of Information, Baoshan University, Baoshan, 678000, Yunnan, China","institution_ids":["https://openalex.org/I4210144930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060213646","display_name":"Jingzong Yang","orcid":"https://orcid.org/0000-0002-2211-8718"},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]},{"id":"https://openalex.org/I4210144930","display_name":"Baoshan University","ror":"https://ror.org/04t69c375","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210144930"]},{"id":"https://openalex.org/I4210149647","display_name":"Yunnan Metallurgical Group (China)","ror":"https://ror.org/050wwwp73","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210149647"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingzong Yang","raw_affiliation_strings":["Faculty of Information Engineering and Automation, Kunming University of Science and Technology, 650500, Kunming, China; Engineering Research Center for Mineral Pipeline, Transportation of Yunnan Province, 650500, Kunming, China; School of Information, Baoshan University, Baoshan, 678000, Yunnan, China","Engineering Research Center for Mineral Pipeline, Transportation of Yunnan Province, 650500, Kunming, China","Faculty of Information Engineering and Automation, Kunming University of Science and Technology, 650500, Kunming, China","School of Information, Baoshan University, Baoshan, 678000, Yunnan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Engineering and Automation, Kunming University of Science and Technology, 650500, Kunming, China; Engineering Research Center for Mineral Pipeline, Transportation of Yunnan Province, 650500, Kunming, China; School of Information, Baoshan University, Baoshan, 678000, Yunnan, China","institution_ids":["https://openalex.org/I10660446","https://openalex.org/I4210144930"]},{"raw_affiliation_string":"Engineering Research Center for Mineral Pipeline, Transportation of Yunnan Province, 650500, Kunming, China","institution_ids":["https://openalex.org/I4210149647"]},{"raw_affiliation_string":"Faculty of Information Engineering and Automation, Kunming University of Science and Technology, 650500, Kunming, China","institution_ids":["https://openalex.org/I10660446"]},{"raw_affiliation_string":"School of Information, Baoshan University, Baoshan, 678000, Yunnan, China","institution_ids":["https://openalex.org/I4210144930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043867798","display_name":"Zao Feng","orcid":"https://orcid.org/0000-0001-8968-5074"},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]},{"id":"https://openalex.org/I4210144930","display_name":"Baoshan University","ror":"https://ror.org/04t69c375","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210144930"]},{"id":"https://openalex.org/I4210149647","display_name":"Yunnan Metallurgical Group (China)","ror":"https://ror.org/050wwwp73","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210149647"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zao Feng","raw_affiliation_strings":["Faculty of Information Engineering and Automation, Kunming University of Science and Technology, 650500, Kunming, China; Engineering Research Center for Mineral Pipeline, Transportation of Yunnan Province, 650500, Kunming, China; School of Information, Baoshan University, Baoshan, 678000, Yunnan, China","Engineering Research Center for Mineral Pipeline, Transportation of Yunnan Province, 650500, Kunming, China","Faculty of Information Engineering and Automation, Kunming University of Science and Technology, 650500, Kunming, China","School of Information, Baoshan University, Baoshan, 678000, Yunnan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Engineering and Automation, Kunming University of Science and Technology, 650500, Kunming, China; Engineering Research Center for Mineral Pipeline, Transportation of Yunnan Province, 650500, Kunming, China; School of Information, Baoshan University, Baoshan, 678000, Yunnan, China","institution_ids":["https://openalex.org/I10660446","https://openalex.org/I4210144930"]},{"raw_affiliation_string":"Engineering Research Center for Mineral Pipeline, Transportation of Yunnan Province, 650500, Kunming, China","institution_ids":["https://openalex.org/I4210149647"]},{"raw_affiliation_string":"Faculty of Information Engineering and Automation, Kunming University of Science and Technology, 650500, Kunming, China","institution_ids":["https://openalex.org/I10660446"]},{"raw_affiliation_string":"School of Information, Baoshan University, Baoshan, 678000, Yunnan, China","institution_ids":["https://openalex.org/I4210144930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11190612,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"9","issue":"5","first_page":"442","last_page":"442"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9883000254631042,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9883000254631042,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13717","display_name":"Advanced Algorithms and Applications","score":0.9861999750137329,"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/T11343","display_name":"Power Transformer Diagnostics and Insulation","score":0.9794999957084656,"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/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7425194382667542},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.698272168636322},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.6502982974052429},{"id":"https://openalex.org/keywords/kernel-principal-component-analysis","display_name":"Kernel principal component analysis","score":0.6164883375167847},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5928509831428528},{"id":"https://openalex.org/keywords/extreme-learning-machine","display_name":"Extreme learning machine","score":0.55843585729599},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.5501363277435303},{"id":"https://openalex.org/keywords/time-domain","display_name":"Time domain","score":0.5191289782524109},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5108572840690613},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4616175591945648},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.4244329631328583},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.41568759083747864},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32811179757118225},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3204546570777893},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.1574539840221405},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.15593448281288147},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.10663643479347229},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.06368380784988403}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7425194382667542},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.698272168636322},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.6502982974052429},{"id":"https://openalex.org/C182335926","wikidata":"https://www.wikidata.org/wiki/Q17093020","display_name":"Kernel principal component analysis","level":4,"score":0.6164883375167847},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5928509831428528},{"id":"https://openalex.org/C2780150128","wikidata":"https://www.wikidata.org/wiki/Q21948731","display_name":"Extreme learning machine","level":3,"score":0.55843585729599},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5501363277435303},{"id":"https://openalex.org/C103824480","wikidata":"https://www.wikidata.org/wiki/Q185889","display_name":"Time domain","level":2,"score":0.5191289782524109},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5108572840690613},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4616175591945648},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.4244329631328583},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.41568759083747864},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32811179757118225},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3204546570777893},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.1574539840221405},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.15593448281288147},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.10663643479347229},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.06368380784988403},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1504/ijcsm.2018.10016502","is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijcsm.2018.10016502","pdf_url":null,"source":{"id":"https://openalex.org/S84141356","display_name":"International Journal of Computing Science and Mathematics","issn_l":"1752-5055","issn":["1752-5055","1752-5063"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310317825","host_organization_name":"Inderscience Publishers","host_organization_lineage":["https://openalex.org/P4310317825"],"host_organization_lineage_names":["Inderscience Publishers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computing Science and Mathematics","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":0,"referenced_works":[],"related_works":["https://openalex.org/W2782295999","https://openalex.org/W2162306796","https://openalex.org/W1970292246","https://openalex.org/W2016162169","https://openalex.org/W4247952185","https://openalex.org/W1642462315","https://openalex.org/W2015118744","https://openalex.org/W2005619368","https://openalex.org/W1879092539","https://openalex.org/W2526155427"],"abstract_inverted_index":{"Aiming":[0],"at":[1],"the":[2,21,41,57,67,75,80,87,101,106,123,127],"problem":[3],"of":[4,49,70,83,108,126,143],"recognition":[5],"on":[6,12],"pipeline":[7,128],"blockage,":[8],"a":[9],"method":[10],"based":[11],"mixed":[13,42,71],"domain":[14,43,54,72],"feature":[15,102],"and":[16,32,52,73,146],"KPCA-ELM":[17],"is":[18,63,111,119,137],"proposed.":[19],"Firstly,":[20],"original":[22],"acoustic":[23],"impulse":[24],"response":[25],"signals":[26],"are":[27,46,90],"analysed":[28],"by":[29,104],"statistical":[30],"analysis":[31,61],"local":[33],"mean":[34],"decomposition":[35],"(LMD),":[36],"in":[37,141],"order":[38],"to":[39,65,92,122,139],"construct":[40],"features,":[44],"which":[45,78],"made":[47],"up":[48],"time,":[50],"frequency":[51],"time-frequency":[53],"features.":[55],"Then":[56],"kernel":[58],"principal":[59],"component":[60],"(KPCA)":[62],"adopted":[64],"reduce":[66],"high-dimensional":[68],"features":[69,77,89,110],"extract":[74],"main":[76,84,88],"reflect":[79],"operation":[81],"state":[82,98],"components.":[85],"Finally,":[86],"input":[91,109],"extreme":[93],"learning":[94],"machine":[95],"(ELM)":[96],"for":[97],"recognition.":[99],"After":[100],"extraction":[103],"KPCA,":[105],"redundancy":[107],"eliminated.":[112],"The":[113],"simulation":[114],"results":[115],"show":[116],"that":[117],"KPCA":[118],"more":[120],"sensitive":[121],"nonlinear":[124],"characteristics":[125],"blockage":[129],"signal":[130],"when":[131],"compared":[132],"with":[133],"PCA.":[134],"Meanwhile,":[135],"ELM":[136],"superior":[138],"BP":[140],"terms":[142],"classification":[144],"accuracy":[145],"time":[147],"consuming.":[148]},"counts_by_year":[],"updated_date":"2026-08-05T07:39:15.569665","created_date":"2025-10-10T00:00:00"}