{"id":"https://openalex.org/W2903988403","doi":"https://doi.org/10.1109/iccais.2018.8570322","title":"Multi-Kernel Learning Based Autonomous Fault Diagnosis for Centrifugal Pumps","display_name":"Multi-Kernel Learning Based Autonomous Fault Diagnosis for Centrifugal Pumps","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2903988403","doi":"https://doi.org/10.1109/iccais.2018.8570322","mag":"2903988403"},"language":"en","primary_location":{"id":"doi:10.1109/iccais.2018.8570322","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccais.2018.8570322","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Control, Automation and Information Sciences (ICCAIS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5102000543","display_name":"Haoran Feng","orcid":"https://orcid.org/0000-0003-1714-0600"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoran Feng","raw_affiliation_strings":["Joint Laboratory of National Engineering Research Center for Software Engineering and Hanpu Intelligent, Peking University, Beijing, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Joint Laboratory of National Engineering Research Center for Software Engineering and Hanpu Intelligent, Peking University, Beijing, P. R. China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053362548","display_name":"Yongcai Wang","orcid":"https://orcid.org/0000-0002-4197-2258"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongcai Wang","raw_affiliation_strings":["Department of Computer Sciences, Renmin University of China, Beijing, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Sciences, Renmin University of China, Beijing, P.R. China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101704506","display_name":"Jiajun Zhu","orcid":"https://orcid.org/0000-0001-9451-4413"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiajun Zhu","raw_affiliation_strings":["Department of Computer Sciences, Renmin University of China, Beijing, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Sciences, Renmin University of China, Beijing, P.R. China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083038336","display_name":"Deying Li","orcid":"https://orcid.org/0000-0002-7748-5427"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Deying Li","raw_affiliation_strings":["Department of Computer Sciences, Renmin University of China, Beijing, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Sciences, Renmin University of China, Beijing, P.R. China","institution_ids":["https://openalex.org/I78988378"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":null,"first_page":"548","last_page":"553"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13050","display_name":"Oil and Gas Production Techniques","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T13050","display_name":"Oil and Gas Production Techniques","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T10876","display_name":"Fault Detection and Control Systems","score":0.9948999881744385,"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/T11220","display_name":"Water Systems and Optimization","score":0.9882000088691711,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6361469626426697},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6266942024230957},{"id":"https://openalex.org/keywords/multiple-kernel-learning","display_name":"Multiple kernel learning","score":0.6083291172981262},{"id":"https://openalex.org/keywords/train","display_name":"Train","score":0.5802602767944336},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5507805347442627},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.5417786836624146},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5357370376586914},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.49560368061065674},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4924203157424927},{"id":"https://openalex.org/keywords/fault-detection-and-isolation","display_name":"Fault detection and isolation","score":0.4866655468940735},{"id":"https://openalex.org/keywords/centrifugal-pump","display_name":"Centrifugal pump","score":0.4424522817134857},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4270618259906769},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2867308259010315},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.14035958051681519},{"id":"https://openalex.org/keywords/actuator","display_name":"Actuator","score":0.11817401647567749},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.11752721667289734}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6361469626426697},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6266942024230957},{"id":"https://openalex.org/C2776879701","wikidata":"https://www.wikidata.org/wiki/Q25048660","display_name":"Multiple kernel learning","level":4,"score":0.6083291172981262},{"id":"https://openalex.org/C190839683","wikidata":"https://www.wikidata.org/wiki/Q2448197","display_name":"Train","level":2,"score":0.5802602767944336},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5507805347442627},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.5417786836624146},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5357370376586914},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.49560368061065674},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4924203157424927},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.4866655468940735},{"id":"https://openalex.org/C166675230","wikidata":"https://www.wikidata.org/wiki/Q627111","display_name":"Centrifugal pump","level":3,"score":0.4424522817134857},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4270618259906769},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2867308259010315},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.14035958051681519},{"id":"https://openalex.org/C172707124","wikidata":"https://www.wikidata.org/wiki/Q423488","display_name":"Actuator","level":2,"score":0.11817401647567749},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.11752721667289734},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical 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/C153005164","wikidata":"https://www.wikidata.org/wiki/Q1698700","display_name":"Impeller","level":2,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccais.2018.8570322","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccais.2018.8570322","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Control, Automation and Information Sciences (ICCAIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4000000059604645,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W143045810","https://openalex.org/W312074057","https://openalex.org/W620177138","https://openalex.org/W1980425777","https://openalex.org/W1980664583","https://openalex.org/W2010186890","https://openalex.org/W2031823405","https://openalex.org/W2090314054","https://openalex.org/W2093466142","https://openalex.org/W2093656338","https://openalex.org/W2107074288","https://openalex.org/W2119345562","https://openalex.org/W2127069950","https://openalex.org/W2132333011","https://openalex.org/W2151403386","https://openalex.org/W2359766378","https://openalex.org/W2464430814","https://openalex.org/W2577263376","https://openalex.org/W2604807809","https://openalex.org/W2912724961","https://openalex.org/W6605834655","https://openalex.org/W6679801795","https://openalex.org/W6736185259"],"related_works":["https://openalex.org/W2900715739","https://openalex.org/W2289496068","https://openalex.org/W2547116720","https://openalex.org/W2043864454","https://openalex.org/W2188831877","https://openalex.org/W3125885229","https://openalex.org/W1483460610","https://openalex.org/W4287635664","https://openalex.org/W3094046485","https://openalex.org/W1508757364"],"abstract_inverted_index":{"Centrifugal":[0],"pumps":[1],"are":[2],"fundamental":[3],"instruments":[4],"in":[5,16],"many":[6,33],"industry":[7],"plants,":[8],"whose":[9],"continuously":[10],"operation":[11],"plays":[12],"an":[13],"important":[14],"role":[15],"the":[17,65,94,99,114,118,123,135,140],"production":[18,22],"cycle.":[19],"For":[20],"improving":[21],"efficiency,":[23],"autonomous":[24,49,78,106],"pump":[25,50,79],"fault":[26,51,80,103,126,132],"diagnosis":[27,81,127],"has":[28,36],"been":[29],"widely":[30],"adopted":[31],"by":[32,88],"enterprises":[34],"and":[35,91,138],"also":[37],"attracted":[38],"great":[39],"research":[40],"attentions.":[41],"Existing":[42],"studies":[43],"exploit":[44],"machine":[45],"learning":[46,75],"algorithms":[47],"for":[48,102],"diagnosis,":[52],"which":[53,112],"generally":[54],"needs":[55],"human":[56,68,143],"knowledge":[57],"to":[58,97],"select":[59],"distinctive":[60],"data":[61],"features.":[62],"To":[63],"avoid":[64],"bias":[66],"of":[67,117,142],"selection,":[69],"this":[70],"paper":[71],"proposes":[72],"a":[73],"multi-kernel":[74],"(MKL)":[76],"based":[77,125],"method.":[82],"It":[83],"trains":[84,113],"basic":[85,95],"classifiers":[86,96],"(BCs)":[87],"each":[89],"feature":[90],"weightily":[92],"combines":[93],"form":[98],"combined":[100],"classifier":[101],"diagnosis.":[104],"An":[105],"BC":[107],"weighting":[108],"algorithm":[109],"is":[110],"proposed,":[111],"combination":[115],"weights":[116],"BCs":[119],"autonomously.":[120],"We":[121],"show":[122],"MKL":[124],"method":[128],"provide":[129],"more":[130],"accurate":[131],"detection":[133],"than":[134],"existing":[136],"methods":[137],"without":[139],"need":[141],"experts'":[144],"interventions.":[145]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}