{"id":"https://openalex.org/W2891605032","doi":"https://doi.org/10.1109/access.2018.2870140","title":"Principal Polynomial Analysis for Fault Detection and Diagnosis of Industrial Processes","display_name":"Principal Polynomial Analysis for Fault Detection and Diagnosis of Industrial Processes","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2891605032","doi":"https://doi.org/10.1109/access.2018.2870140","mag":"2891605032"},"language":"en","primary_location":{"id":"doi:10.1109/access.2018.2870140","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2870140","pdf_url":null,"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":null,"license_id":null,"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://doi.org/10.1109/access.2018.2870140","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100654679","display_name":"Xinmin Zhang","orcid":"https://orcid.org/0000-0002-4761-3969"},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Xinmin Zhang","raw_affiliation_strings":["Department of Systems Science, Kyoto University, Kyoto, Japan"],"raw_orcid":"https://orcid.org/0000-0002-4761-3969","affiliations":[{"raw_affiliation_string":"Department of Systems Science, Kyoto University, Kyoto, Japan","institution_ids":["https://openalex.org/I22299242"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034630360","display_name":"Manabu Kano","orcid":"https://orcid.org/0000-0002-2325-1043"},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Manabu Kano","raw_affiliation_strings":["Department of Systems Science, Kyoto University, Kyoto, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Systems Science, Kyoto University, Kyoto, Japan","institution_ids":["https://openalex.org/I22299242"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100618717","display_name":"Yuan Li","orcid":"https://orcid.org/0000-0001-7466-9485"},"institutions":[{"id":"https://openalex.org/I48780066","display_name":"Shenyang University of Chemical Technology","ror":"https://ror.org/03dbpdh75","country_code":"CN","type":"education","lineage":["https://openalex.org/I48780066"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Li","raw_affiliation_strings":["Department of Information Engineering, Shenyang University of Chemical Technology, Shenyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, Shenyang University of Chemical Technology, Shenyang, China","institution_ids":["https://openalex.org/I48780066"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.8261,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.86229738,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"6","issue":null,"first_page":"52298","last_page":"52307"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":1.0,"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":1.0,"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":0.9927999973297119,"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/T12282","display_name":"Mineral Processing and Grinding","score":0.9922000169754028,"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/fault-detection-and-isolation","display_name":"Fault detection and isolation","score":0.7318683862686157},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6278254985809326},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.6267274022102356},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6265678405761719},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6101248264312744},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.6086940169334412},{"id":"https://openalex.org/keywords/polynomial","display_name":"Polynomial","score":0.5509464144706726},{"id":"https://openalex.org/keywords/kernel-principal-component-analysis","display_name":"Kernel principal component analysis","score":0.5263667702674866},{"id":"https://openalex.org/keywords/polynomial-kernel","display_name":"Polynomial kernel","score":0.46716511249542236},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4594581425189972},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44941386580467224},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.43907174468040466},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4271967113018036},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3979793190956116},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3567177653312683},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.32063764333724976},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2846284508705139},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.22065293788909912}],"concepts":[{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.7318683862686157},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6278254985809326},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.6267274022102356},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6265678405761719},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6101248264312744},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.6086940169334412},{"id":"https://openalex.org/C90119067","wikidata":"https://www.wikidata.org/wiki/Q43260","display_name":"Polynomial","level":2,"score":0.5509464144706726},{"id":"https://openalex.org/C182335926","wikidata":"https://www.wikidata.org/wiki/Q17093020","display_name":"Kernel principal component analysis","level":4,"score":0.5263667702674866},{"id":"https://openalex.org/C160446489","wikidata":"https://www.wikidata.org/wiki/Q7226642","display_name":"Polynomial kernel","level":4,"score":0.46716511249542236},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4594581425189972},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44941386580467224},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.43907174468040466},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4271967113018036},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3979793190956116},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3567177653312683},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.32063764333724976},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2846284508705139},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.22065293788909912},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C172707124","wikidata":"https://www.wikidata.org/wiki/Q423488","display_name":"Actuator","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2018.2870140","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2870140","pdf_url":null,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:e546baf4549c4fdfb5d0621ee4073d53","is_oa":true,"landing_page_url":"https://doaj.org/article/e546baf4549c4fdfb5d0621ee4073d53","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 6, Pp 52298-52307 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2018.2870140","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2870140","pdf_url":null,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5099999904632568,"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1966863755","https://openalex.org/W1970537494","https://openalex.org/W1973076992","https://openalex.org/W1978994389","https://openalex.org/W1989746184","https://openalex.org/W1990384678","https://openalex.org/W1992844383","https://openalex.org/W1994101233","https://openalex.org/W1994505190","https://openalex.org/W2001141328","https://openalex.org/W2004186751","https://openalex.org/W2053186076","https://openalex.org/W2070135905","https://openalex.org/W2070372194","https://openalex.org/W2089468765","https://openalex.org/W2097308346","https://openalex.org/W2097331024","https://openalex.org/W2122253389","https://openalex.org/W2122538988","https://openalex.org/W2124523634","https://openalex.org/W2130086376","https://openalex.org/W2156718197","https://openalex.org/W2169347809","https://openalex.org/W2278400335","https://openalex.org/W2322097696","https://openalex.org/W2508552526","https://openalex.org/W2608089442","https://openalex.org/W2625725670","https://openalex.org/W2759373267","https://openalex.org/W2761414589","https://openalex.org/W2770356183","https://openalex.org/W2773374035","https://openalex.org/W3146375077","https://openalex.org/W4213367101","https://openalex.org/W4300192482","https://openalex.org/W6678360501","https://openalex.org/W6682755970","https://openalex.org/W6728008901","https://openalex.org/W6745847758"],"related_works":["https://openalex.org/W2393746448","https://openalex.org/W1984421104","https://openalex.org/W2512565647","https://openalex.org/W2384322977","https://openalex.org/W2001772920","https://openalex.org/W2164869055","https://openalex.org/W2182834820","https://openalex.org/W2071590642","https://openalex.org/W2149803014","https://openalex.org/W2890196891"],"abstract_inverted_index":{"Real-time":[0],"process":[1,9,69],"monitoring":[2,114],"is":[3,31,34,57],"crucial":[4],"to":[5,121],"improve":[6],"the":[7,41,53,62,68,85,111,137,148],"productivity,":[8],"safety,":[10],"and":[11,21,80,93,103,126,144,151],"product":[12],"quality.":[13],"In":[14,95],"this":[15],"paper,":[16],"a":[17,26,35,44,122],"novel":[18],"fault":[19,101,142],"detection":[20,102,143],"diagnosis":[22,104,145],"technique":[23],"based":[24],"on":[25],"principal":[27,48],"polynomial":[28,49],"analysis":[29],"(PPA)":[30],"proposed.":[32],"PPA":[33,56,83],"nonlinear":[36,64,75,123],"modeling":[37],"technique,":[38],"which":[39],"describes":[40],"data":[42],"using":[43],"set":[45],"of":[46,67,88,100,110],"flexible":[47],"components.":[50],"Compared":[51],"with":[52,73],"PCA-based":[54,150,153],"methods,":[55,76,82],"more":[58],"effective":[59],"in":[60],"capturing":[61],"intrinsic":[63],"geometry":[65],"structure":[66],"data.":[70],"Moreover,":[71],"compared":[72],"other":[74],"such":[77],"as":[78],"kernel-based":[79],"neural-networks-based":[81],"has":[84,140],"appealing":[86],"features":[87],"straightforward":[89],"out-of-sample":[90],"extension,":[91],"volume-preservation,":[92],"invertibility.":[94],"addition,":[96],"two":[97],"new":[98],"types":[99],"statistics":[105],"are":[106],"derived.":[107],"The":[108,131],"effectiveness":[109],"proposed":[112,138],"PPA-based":[113],"method":[115,139],"was":[116],"verified":[117],"through":[118],"its":[119],"applications":[120],"numerical":[124],"example":[125],"an":[127],"industrial":[128],"benchmark":[129],"process.":[130],"application":[132],"results":[133],"have":[134],"demonstrated":[135],"that":[136],"superior":[141],"performance":[146],"than":[147],"conventional":[149],"kernel":[152],"methods.":[154]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}