{"id":"https://openalex.org/W1609161710","doi":"https://doi.org/10.1109/mmar.2015.7283933","title":"Optimising approach to designing kernel PCA model for diagnosis purposes with and without a priori known data reflecting faulty states","display_name":"Optimising approach to designing kernel PCA model for diagnosis purposes with and without a priori known data reflecting faulty states","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W1609161710","doi":"https://doi.org/10.1109/mmar.2015.7283933","mag":"1609161710"},"language":"en","primary_location":{"id":"doi:10.1109/mmar.2015.7283933","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmar.2015.7283933","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 20th International Conference on Methods and Models in Automation and Robotics (MMAR)","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/A5034493946","display_name":"Micha\u0142 Grochowski","orcid":"https://orcid.org/0000-0002-2453-2410"},"institutions":[{"id":"https://openalex.org/I169333911","display_name":"Gda\u0144sk University of Technology","ror":"https://ror.org/006x4sc24","country_code":"PL","type":"education","lineage":["https://openalex.org/I169333911"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Michal Grochowski","raw_affiliation_strings":["Electrical and Control Engineering Department, Gdansk University of Technology, Poland","Electrical and Control Engineering Department, Gda\u0144sk University of Technology, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical and Control Engineering Department, Gdansk University of Technology, Poland","institution_ids":["https://openalex.org/I169333911"]},{"raw_affiliation_string":"Electrical and Control Engineering Department, Gda\u0144sk University of Technology, Poland","institution_ids":["https://openalex.org/I169333911"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114259737","display_name":"Maciej Matczak","orcid":null},"institutions":[{"id":"https://openalex.org/I1335490905","display_name":"Synopsys (Switzerland)","ror":"https://ror.org/03mb54f81","country_code":"CH","type":"company","lineage":["https://openalex.org/I1335490905","https://openalex.org/I4210088951"]},{"id":"https://openalex.org/I4210088951","display_name":"Synopsys (United States)","ror":"https://ror.org/013by2m91","country_code":"US","type":"company","lineage":["https://openalex.org/I4210088951"]}],"countries":["CH","US"],"is_corresponding":false,"raw_author_name":"Maciej Matczak","raw_affiliation_strings":["Synopsys, Sp. z.o.o., Poland","Synopsys Poland Sp. z.o.o"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Synopsys, Sp. z.o.o., Poland","institution_ids":["https://openalex.org/I1335490905","https://openalex.org/I4210088951"]},{"raw_affiliation_string":"Synopsys Poland Sp. z.o.o","institution_ids":["https://openalex.org/I1335490905","https://openalex.org/I4210088951"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080260766","display_name":"Michal Sokolowski","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Michal Sokolowski","raw_affiliation_strings":["Apator Metrix, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Apator Metrix, Poland","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4828,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.52594214,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"541","last_page":"546"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9998999834060669,"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":0.9998999834060669,"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":0.988099992275238,"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"}},{"id":"https://openalex.org/T11236","display_name":"Control Systems and Identification","score":0.982200026512146,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/kernel-principal-component-analysis","display_name":"Kernel principal component analysis","score":0.7491374015808105},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.7421222925186157},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7188548445701599},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6643753051757812},{"id":"https://openalex.org/keywords/fault-detection-and-isolation","display_name":"Fault detection and isolation","score":0.6132822632789612},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.5298958420753479},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.529873251914978},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.4979698657989502},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.48054367303848267},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4578366279602051},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.4520154893398285},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4294389486312866},{"id":"https://openalex.org/keywords/principal","display_name":"Principal (computer security)","score":0.41678088903427124},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3721740245819092},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.310780793428421},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2968459129333496},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13715115189552307},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.10677915811538696}],"concepts":[{"id":"https://openalex.org/C182335926","wikidata":"https://www.wikidata.org/wiki/Q17093020","display_name":"Kernel principal component analysis","level":4,"score":0.7491374015808105},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.7421222925186157},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7188548445701599},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6643753051757812},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.6132822632789612},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.5298958420753479},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.529873251914978},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4979698657989502},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.48054367303848267},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4578366279602051},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.4520154893398285},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4294389486312866},{"id":"https://openalex.org/C144559511","wikidata":"https://www.wikidata.org/wiki/Q2986279","display_name":"Principal (computer security)","level":2,"score":0.41678088903427124},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3721740245819092},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.310780793428421},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2968459129333496},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13715115189552307},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.10677915811538696},{"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/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mmar.2015.7283933","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmar.2015.7283933","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 20th International Conference on Methods and Models in Automation and Robotics (MMAR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8600000143051147,"id":"https://metadata.un.org/sdg/6","display_name":"Clean water and sanitation"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W63366494","https://openalex.org/W1526146785","https://openalex.org/W1966863755","https://openalex.org/W1993694278","https://openalex.org/W2002646710","https://openalex.org/W2003516238","https://openalex.org/W2030135765","https://openalex.org/W2045926916","https://openalex.org/W2077791644","https://openalex.org/W2103914106","https://openalex.org/W2132029223","https://openalex.org/W2140095548","https://openalex.org/W2503993098","https://openalex.org/W4206070770","https://openalex.org/W6631556622"],"related_works":["https://openalex.org/W2379488555","https://openalex.org/W2753886092","https://openalex.org/W2152632846","https://openalex.org/W1992961908","https://openalex.org/W2014683590","https://openalex.org/W2944973397","https://openalex.org/W3138125914","https://openalex.org/W2359742711","https://openalex.org/W2139392257","https://openalex.org/W2474947501"],"abstract_inverted_index":{"Fault":[0],"detection":[1,27],"plays":[2],"an":[3],"important":[4],"role":[5],"in":[6,76,104,115],"advanced":[7],"control":[8],"of":[9,25,50,87,111],"complex":[10],"dynamic":[11],"systems":[12],"since":[13],"precise":[14],"information":[15],"about":[16],"system":[17],"condition":[18],"enables":[19],"efficient":[20,51],"control.":[21],"Data":[22],"driven":[23],"methods":[24],"fault":[26],"give":[28],"the":[29,33,61,68,84,88,105,109,113],"chance":[30],"to":[31,81],"monitor":[32],"plant":[34,89],"state":[35],"purely":[36],"based":[37],"on":[38,98],"gathered":[39],"measurements.":[40],"However,":[41],"they":[42],"especially":[43],"nonlinear,":[44],"still":[45],"suffer":[46],"from":[47],"a":[48],"lack":[49],"and":[52,90,102],"effective":[53],"learning":[54,64],"methods.":[55],"In":[56],"this":[57],"paper":[58],"we":[59],"propose":[60],"two":[62,77],"stages":[63],"algorithm":[65],"for":[66],"designing":[67],"kernel":[69],"Principal":[70],"Component":[71],"Analysis":[72],"(kPCA)":[73],"model":[74],"parameters":[75],"cases:":[78],"with":[79],"access":[80],"data":[82],"reflecting":[83],"faulty":[85],"states":[86],"without":[91],"such":[92],"data.":[93],"The":[94],"method":[95],"is":[96],"explained":[97],"simple":[99],"testing":[100],"example":[101],"verified":[103],"case":[106],"study":[107],"showing":[108],"efficiency":[110],"detecting":[112],"leakages":[114],"drinking":[116],"water":[117],"distribution":[118],"systems.":[119]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}