{"id":"https://openalex.org/W2971779304","doi":"https://doi.org/10.1109/access.2019.2939289","title":"Optimized Forecast Components-SVM-Based Fault Diagnosis With Applications for Wastewater Treatment","display_name":"Optimized Forecast Components-SVM-Based Fault Diagnosis With Applications for Wastewater Treatment","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2971779304","doi":"https://doi.org/10.1109/access.2019.2939289","mag":"2971779304"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2939289","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2939289","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08822997.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08822997.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069644083","display_name":"Hongchao Cheng","orcid":null},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hongchao Cheng","raw_affiliation_strings":["School of Automation Science and Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100744925","display_name":"Yiqi Liu","orcid":"https://orcid.org/0000-0002-5924-3408"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiqi Liu","raw_affiliation_strings":["School of Automation Science and Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-9574-6862","affiliations":[{"raw_affiliation_string":"School of Automation Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012233130","display_name":"Daoping Huang","orcid":"https://orcid.org/0000-0001-6232-4164"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Daoping Huang","raw_affiliation_strings":["School of Automation Science and Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100395492","display_name":"Bin Liu","orcid":"https://orcid.org/0000-0002-3946-8124"},"institutions":[{"id":"https://openalex.org/I181647926","display_name":"University of Strathclyde","ror":"https://ror.org/00n3w3b69","country_code":"GB","type":"education","lineage":["https://openalex.org/I181647926"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Bin Liu","raw_affiliation_strings":["Department of Management Science, University of Strathclyde, Glasgow, U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Management Science, University of Strathclyde, Glasgow, U.K","institution_ids":["https://openalex.org/I181647926"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5069644083"],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.1806,"has_fulltext":true,"cited_by_count":21,"citation_normalized_percentile":{"value":0.7947501,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"7","issue":null,"first_page":"128534","last_page":"128543"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9998000264167786,"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":0.9998000264167786,"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/T14249","display_name":"Water Quality Monitoring and Analysis","score":0.9889000058174133,"subfield":{"id":"https://openalex.org/subfields/2311","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12282","display_name":"Mineral Processing and Grinding","score":0.9854000210762024,"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":0.7623965740203857},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6903470754623413},{"id":"https://openalex.org/keywords/constant-false-alarm-rate","display_name":"Constant false alarm rate","score":0.6411501169204712},{"id":"https://openalex.org/keywords/false-alarm","display_name":"False alarm","score":0.5230692028999329},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4889427721500397},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.47910574078559875},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.4712674617767334},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.45760205388069153},{"id":"https://openalex.org/keywords/fault-detection-and-isolation","display_name":"Fault detection and isolation","score":0.4281591475009918},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4264918863773346},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39876788854599},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37023741006851196},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1331566870212555},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1245107352733612}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7623965740203857},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6903470754623413},{"id":"https://openalex.org/C77052588","wikidata":"https://www.wikidata.org/wiki/Q644307","display_name":"Constant false alarm rate","level":2,"score":0.6411501169204712},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.5230692028999329},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4889427721500397},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.47910574078559875},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.4712674617767334},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.45760205388069153},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.4281591475009918},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4264918863773346},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39876788854599},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37023741006851196},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1331566870212555},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1245107352733612},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"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/C172707124","wikidata":"https://www.wikidata.org/wiki/Q423488","display_name":"Actuator","level":2,"score":0.0},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/access.2019.2939289","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2939289","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08822997.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:strathprints.strath.ac.uk:70677","is_oa":false,"landing_page_url":"https://strathprints.strath.ac.uk/view/author/1214809.html>","pdf_url":null,"source":{"id":"https://openalex.org/S4306402226","display_name":"Strathprints: The University of Strathclyde institutional repository (University of Strathclyde)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I181647926","host_organization_name":"University of Strathclyde","host_organization_lineage":["https://openalex.org/I181647926"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"},{"id":"pmh:oai:doaj.org/article:f5908e3135864b6dbe571d73d29b9ed9","is_oa":true,"landing_page_url":"https://doaj.org/article/f5908e3135864b6dbe571d73d29b9ed9","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 128534-128543 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2939289","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2939289","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08822997.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Clean water and sanitation","score":0.8700000047683716,"id":"https://metadata.un.org/sdg/6"}],"awards":[{"id":"https://openalex.org/G1393136517","display_name":null,"funder_award_id":"201804010256","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1869327035","display_name":null,"funder_award_id":"61673181","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2190469625","display_name":null,"funder_award_id":"61873096","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2971779304.pdf","grobid_xml":"https://content.openalex.org/works/W2971779304.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W1728456629","https://openalex.org/W1969494221","https://openalex.org/W1974076946","https://openalex.org/W1978142323","https://openalex.org/W1993186055","https://openalex.org/W2002268936","https://openalex.org/W2018384025","https://openalex.org/W2031321561","https://openalex.org/W2070281442","https://openalex.org/W2077831477","https://openalex.org/W2093624953","https://openalex.org/W2107074288","https://openalex.org/W2118286367","https://openalex.org/W2127998130","https://openalex.org/W2132915908","https://openalex.org/W2156909104","https://openalex.org/W2158890446","https://openalex.org/W2302743868","https://openalex.org/W2321758621","https://openalex.org/W2322097696","https://openalex.org/W2524215529","https://openalex.org/W2734701267","https://openalex.org/W2751649706","https://openalex.org/W2777815485","https://openalex.org/W2791494834","https://openalex.org/W2797023888","https://openalex.org/W2921198919","https://openalex.org/W3124995023","https://openalex.org/W4239510810","https://openalex.org/W4299988982","https://openalex.org/W6635403897","https://openalex.org/W6636403207","https://openalex.org/W6655122482"],"related_works":["https://openalex.org/W2090763504","https://openalex.org/W148178222","https://openalex.org/W2104657898","https://openalex.org/W1983393909","https://openalex.org/W2774527540","https://openalex.org/W2040150569","https://openalex.org/W2468095590","https://openalex.org/W2132174924","https://openalex.org/W1911540634","https://openalex.org/W2013909972"],"abstract_inverted_index":{"Process":[0],"monitoring":[1],"of":[2,72,123],"wastewater":[3],"treatment":[4],"plant":[5],"(WWTP)":[6],"is":[7,66,87,125],"a":[8,27,83,137,142],"challenging":[9],"industrial":[10],"problem,":[11],"due":[12],"to":[13,16,55,68,77,95],"its":[14],"exposure":[15],"the":[17,44,58,60,70,73,80,97,110,121],"hostile":[18],"working":[19],"environment":[20],"and":[21,105,141],"significant":[22],"disturbances.":[23],"This":[24],"paper":[25],"proposed":[26,74],"novel":[28],"fault":[29],"diagnosis":[30],"method,":[31,59],"termed":[32],"as":[33,132,134],"optimization":[34],"forecast":[35],"components-support":[36],"vector":[37],"machine":[38],"(OFC-SVM).":[39],"The":[40],"method":[41,81],"firstly":[42],"improved":[43],"forecastable":[45],"component":[46],"analysis":[47],"(ForeCA)":[48],"for":[49],"feature":[50],"extraction.":[51],"Secondly,":[52],"in":[53],"order":[54],"further":[56,116],"enhance":[57],"quadratic":[61],"Grid":[62],"Search":[63],"(GS)":[64],"algorithm":[65],"utilized":[67],"optimize":[69],"parameters":[71],"method.":[75],"Thirdly,":[76],"properly":[78],"evaluate":[79],"performance,":[82],"new":[84,111],"evaluation":[85],"index":[86],"proposed,":[88],"named":[89],"Pre":[90],"Alarm":[91],"Rate":[92],"(PAR),":[93],"aiming":[94],"achieve":[96],"quantitative":[98],"trade-off":[99],"between":[100],"false":[101],"alarm":[102,107],"rate":[103],"(FAR)":[104],"missed":[106],"rate(MAR).":[108],"Then,":[109],"ROC":[112],"curve":[113],"can":[114],"be":[115],"derived":[117],"by":[118,136],"PAR.":[119],"Finally,":[120],"performance":[122],"OFC-SVM":[124],"strictly":[126],"compared":[127],"with":[128],"other":[129],"five":[130],"methods":[131],"well":[133],"validated":[135],"Monte":[138],"Carlo":[139],"model":[140],"full-scale":[143],"WWTP.":[144]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
