{"id":"https://openalex.org/W2905020267","doi":"https://doi.org/10.1109/iccais.2018.8570478","title":"Fault Detection Method Based on Improved Isomap and SVM in Noise-Containing Nonlinear Process","display_name":"Fault Detection Method Based on Improved Isomap and SVM in Noise-Containing Nonlinear Process","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2905020267","doi":"https://doi.org/10.1109/iccais.2018.8570478","mag":"2905020267"},"language":"en","primary_location":{"id":"doi:10.1109/iccais.2018.8570478","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccais.2018.8570478","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":"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/A5102410245","display_name":"Yankun Han","orcid":null},"institutions":[{"id":"https://openalex.org/I173899330","display_name":"Henan University","ror":"https://ror.org/003xyzq10","country_code":"CN","type":"education","lineage":["https://openalex.org/I173899330"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yankun Han","raw_affiliation_strings":["School of Computer and Information Engineering, Henan University, Kaifeng, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering, Henan University, Kaifeng, China","institution_ids":["https://openalex.org/I173899330"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011920883","display_name":"Qianshuai Cheng","orcid":null},"institutions":[{"id":"https://openalex.org/I173899330","display_name":"Henan University","ror":"https://ror.org/003xyzq10","country_code":"CN","type":"education","lineage":["https://openalex.org/I173899330"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qianshuai Cheng","raw_affiliation_strings":["School of Computer and Information Engineering, Henan University, Kaifeng, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering, Henan University, Kaifeng, China","institution_ids":["https://openalex.org/I173899330"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101595120","display_name":"Yandong Hou","orcid":"https://orcid.org/0000-0002-8057-7568"},"institutions":[{"id":"https://openalex.org/I173899330","display_name":"Henan University","ror":"https://ror.org/003xyzq10","country_code":"CN","type":"education","lineage":["https://openalex.org/I173899330"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yandong Hou","raw_affiliation_strings":["School of Computer and Information Engineering, Henan University, Kaifeng, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering, Henan University, Kaifeng, China","institution_ids":["https://openalex.org/I173899330"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5102410245"],"corresponding_institution_ids":["https://openalex.org/I173899330"],"apc_list":null,"apc_paid":null,"fwci":0.1872,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.53632141,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"2018","issue":null,"first_page":"461","last_page":"466"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9994999766349792,"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":0.9994999766349792,"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/T12282","display_name":"Mineral Processing and Grinding","score":0.9918000102043152,"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"}},{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9807000160217285,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/isomap","display_name":"Isomap","score":0.9903995394706726},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6793054342269897},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6363866329193115},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6001789569854736},{"id":"https://openalex.org/keywords/fault-detection-and-isolation","display_name":"Fault detection and isolation","score":0.5953386425971985},{"id":"https://openalex.org/keywords/nonlinear-dimensionality-reduction","display_name":"Nonlinear dimensionality reduction","score":0.5864497423171997},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5532894134521484},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.550391435623169},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5402218699455261},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.49464651942253113},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.41941037774086},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.3239815831184387}],"concepts":[{"id":"https://openalex.org/C2778626561","wikidata":"https://www.wikidata.org/wiki/Q6086067","display_name":"Isomap","level":4,"score":0.9903995394706726},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6793054342269897},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6363866329193115},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6001789569854736},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.5953386425971985},{"id":"https://openalex.org/C151876577","wikidata":"https://www.wikidata.org/wiki/Q7049464","display_name":"Nonlinear dimensionality reduction","level":3,"score":0.5864497423171997},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5532894134521484},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.550391435623169},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5402218699455261},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.49464651942253113},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.41941037774086},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.3239815831184387},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iccais.2018.8570478","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccais.2018.8570478","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"},{"id":"mag:3178788161","is_oa":false,"landing_page_url":"https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=201902268274065454","pdf_url":null,"source":{"id":"https://openalex.org/S4306512817","display_name":"IEEE Conference Proceedings","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":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"IEEE Conference Proceedings","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1535602073","https://openalex.org/W1620680570","https://openalex.org/W2038180527","https://openalex.org/W2070689356","https://openalex.org/W2156909104","https://openalex.org/W2166042538","https://openalex.org/W2171707538","https://openalex.org/W2313724974","https://openalex.org/W2763148304","https://openalex.org/W3099514962","https://openalex.org/W4230674625","https://openalex.org/W4239510810"],"related_works":["https://openalex.org/W2375574759","https://openalex.org/W1489327846","https://openalex.org/W4287375746","https://openalex.org/W3124275785","https://openalex.org/W2037225398","https://openalex.org/W2132734978","https://openalex.org/W2166963679","https://openalex.org/W2364555648","https://openalex.org/W3126767766","https://openalex.org/W2352321395"],"abstract_inverted_index":{"In":[0],"order":[1],"to":[2,55,89,111,148,156],"solve":[3,56],"the":[4,23,57,70,74,79,84,92,97,103,106,118,122,137,152,158,181],"problem":[5,58],"of":[6,11,25,38,43,108,120,125,161,170,184],"high":[7],"dimension":[8],"and":[9,30,78,99,136,150],"nonlinearity":[10],"monitoring":[12,144,163],"data":[13,155,164],"in":[14,48,96],"chemical":[15,186],"process,":[16],"a":[17,40],"fault":[18,131,159,182],"detection":[19,132,160,183],"method":[20,42,177],"based":[21,68,116],"on":[22,69,117],"combination":[24],"improved":[26],"isometric":[27],"mapping":[28],"(Isomap)":[29],"Support":[31],"Vector":[32],"Machines":[33],"(SVM)":[34],"is":[35,46,62,81,113,134,146],"proposed.":[36],"First":[37],"all,":[39],"new":[41],"Isomap":[44,60,109],"improvement":[45],"proposed":[47],"this":[49,176],"paper,":[50],"called":[51],"Standardized":[52],"Residuals-Isomap":[53],"(SR-Isomap),":[54],"that":[59,175],"algorithm":[61,110],"easily":[63],"affected":[64],"by":[65],"noise.":[66,166,189],"Then":[67],"statistic-proximity":[71],"ratio":[72],"r,":[73],"residuals":[75],"are":[76],"analyzed":[77],"noise":[80,112],"separated":[82],"within":[83],"confidence":[85],"intervals":[86],"[-2,":[87],"2]":[88],"accurately":[90],"extract":[91],"low-dimensional":[93,153],"principal":[94],"components":[95],"high-dimensional":[98],"Nonlinear":[100],"manifold":[101],"under":[102],"noisy":[104],"environment,":[105],"robustness":[107],"enhanced.":[114],"Finally,":[115],"feature":[119],"minimizing":[121],"structural":[123],"risk":[124],"support":[126],"vector":[127],"machines,":[128],"an":[129],"SR-Isomap-SVM":[130],"model":[133],"constructed":[135],"radial":[138],"basis":[139],"function":[140],"suitable":[141],"for":[142],"process":[143,187],"signal":[145],"chosen":[147],"train":[149],"learn":[151],"clustering":[154],"realize":[157,180],"nonlinear":[162],"with":[165,188],"The":[167],"simulation":[168],"results":[169],"Tennessee":[171],"Eastman(TE)":[172],"Process":[173],"show":[174],"can":[178],"effectively":[179],"non-linear":[185]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
