{"id":"https://openalex.org/W2589738557","doi":"https://doi.org/10.1155/2017/2697297","title":"Fault Diagnosis Method Based on Information Entropy and Relative Principal Component Analysis","display_name":"Fault Diagnosis Method Based on Information Entropy and Relative Principal Component Analysis","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2589738557","doi":"https://doi.org/10.1155/2017/2697297","mag":"2589738557"},"language":"en","primary_location":{"id":"doi:10.1155/2017/2697297","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2017/2697297","pdf_url":"http://downloads.hindawi.com/journals/jcse/2017/2697297.pdf","source":{"id":"https://openalex.org/S11704996","display_name":"Journal of Control Science and Engineering","issn_l":"1687-5249","issn":["1687-5249","1687-5257"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Control Science and Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"http://downloads.hindawi.com/journals/jcse/2017/2697297.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5053887864","display_name":"Xiaoming Xu","orcid":"https://orcid.org/0000-0003-1149-7123"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoming Xu","raw_affiliation_strings":["School of Automation, Hangzhou Dianzi University, Hangzhou 310018, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Hangzhou Dianzi University, Hangzhou 310018, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086718724","display_name":"Chenglin Wen","orcid":"https://orcid.org/0000-0003-2471-2849"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chenglin Wen","raw_affiliation_strings":["School of Automation, Hangzhou Dianzi University, Hangzhou 310018, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Hangzhou Dianzi University, Hangzhou 310018, China","institution_ids":["https://openalex.org/I50760025"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5086718724"],"corresponding_institution_ids":["https://openalex.org/I50760025"],"apc_list":{"value":1400,"currency":"USD","value_usd":1400},"apc_paid":{"value":1400,"currency":"USD","value_usd":1400},"fwci":0.4077,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.60622005,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2017","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9919999837875366,"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":0.9919999837875366,"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":0.9853000044822693,"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/T13717","display_name":"Advanced Algorithms and Applications","score":0.921500027179718,"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/principal-component-analysis","display_name":"Principal component analysis","score":0.8368932008743286},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.6311057806015015},{"id":"https://openalex.org/keywords/kullback\u2013leibler-divergence","display_name":"Kullback\u2013Leibler divergence","score":0.5095034241676331},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.4929964244365692},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.4840332865715027},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.47405001521110535},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4602993130683899},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.45795759558677673},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4349616467952728},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.4280036389827728},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3595290780067444},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3558284640312195}],"concepts":[{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.8368932008743286},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.6311057806015015},{"id":"https://openalex.org/C171752962","wikidata":"https://www.wikidata.org/wiki/Q255166","display_name":"Kullback\u2013Leibler divergence","level":2,"score":0.5095034241676331},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.4929964244365692},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.4840332865715027},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.47405001521110535},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4602993130683899},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45795759558677673},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4349616467952728},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.4280036389827728},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3595290780067444},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3558284640312195},{"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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1155/2017/2697297","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2017/2697297","pdf_url":"http://downloads.hindawi.com/journals/jcse/2017/2697297.pdf","source":{"id":"https://openalex.org/S11704996","display_name":"Journal of Control Science and Engineering","issn_l":"1687-5249","issn":["1687-5249","1687-5257"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Control Science and Engineering","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:589418d048b7483bb871c7151328c0a5","is_oa":true,"landing_page_url":"https://doaj.org/article/589418d048b7483bb871c7151328c0a5","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Control Science and Engineering, Vol 2017 (2017)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2017/2697297","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2017/2697297","pdf_url":"http://downloads.hindawi.com/journals/jcse/2017/2697297.pdf","source":{"id":"https://openalex.org/S11704996","display_name":"Journal of Control Science and Engineering","issn_l":"1687-5249","issn":["1687-5249","1687-5257"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Control Science and Engineering","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1576489429","display_name":null,"funder_award_id":"61490701","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4018278132","display_name":null,"funder_award_id":"61333005","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5733390078","display_name":null,"funder_award_id":"Grant nos.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8778823453","display_name":null,"funder_award_id":"U1664264","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8987167353","display_name":null,"funder_award_id":"U1509203","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/W2589738557.pdf","grobid_xml":"https://content.openalex.org/works/W2589738557.grobid-xml"},"referenced_works_count":10,"referenced_works":["https://openalex.org/W580920853","https://openalex.org/W1973837973","https://openalex.org/W1995875735","https://openalex.org/W2000767513","https://openalex.org/W2084812512","https://openalex.org/W2293548403","https://openalex.org/W2386703705","https://openalex.org/W2602250597","https://openalex.org/W2790718085","https://openalex.org/W3003183558"],"related_works":["https://openalex.org/W1975632186","https://openalex.org/W3027745756","https://openalex.org/W3205213561","https://openalex.org/W2531880140","https://openalex.org/W2036609560","https://openalex.org/W346861917","https://openalex.org/W3024018414","https://openalex.org/W2163103544","https://openalex.org/W2551182807","https://openalex.org/W3033899355"],"abstract_inverted_index":{"In":[0,54],"traditional":[1],"principle":[2],"component":[3],"analysis":[4],"(PCA),":[5],"because":[6],"of":[7,10,64,150],"the":[8,11,18,20,31,39,48,78,81,89,94,105,111,116,126,134,146,151],"neglect":[9],"dimensions":[12],"influence":[13],"between":[14],"different":[15],"variables":[16],"in":[17,88,104],"system,":[19],"selected":[21],"principal":[22],"components":[23],"(PCs)":[24],"often":[25],"fail":[26],"to":[27,37,46,56,110],"be":[28],"representative.":[29],"While":[30],"relative":[32],"transformation":[33],"PCA":[34],"is":[35,43],"able":[36],"solve":[38,57],"above":[40],"problem,":[41],"it":[42,99,114,124],"not":[44],"easy":[45],"calculate":[47],"weight":[49,117],"for":[50,84,118,130],"each":[51,85,119],"characteristic":[52,86,121],"variable.":[53,122],"order":[55],"it,":[58],"this":[59],"paper":[60],"proposes":[61],"a":[62],"kind":[63],"fault":[65,131],"diagnosis":[66],"method":[67],"based":[68,92,137],"on":[69,93,138],"information":[70,82,95,112],"entropy":[71,83],"and":[72,142,148],"Relative":[73],"Principle":[74],"Component":[75],"Analysis.":[76],"Firstly,":[77],"algorithm":[79],"calculates":[80],"variable":[87],"original":[90],"dataset":[91],"gain":[96],"algorithm.":[97],"Secondly,":[98],"standardizes":[100],"every":[101],"variable\u2019s":[102],"dimension":[103],"dataset.":[106],"And,":[107],"then,":[108],"according":[109],"entropy,":[113],"allocates":[115],"standardized":[120],"Finally,":[123],"utilizes":[125],"relative-principal-components":[127],"model":[128],"established":[129],"diagnosis.":[132],"Furthermore,":[133],"simulation":[135],"experiments":[136],"Tennessee":[139],"Eastman":[140],"process":[141],"Wine":[143],"datasets":[144],"demonstrate":[145],"feasibility":[147],"effectiveness":[149],"new":[152],"method.":[153]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-04-15T08:11:43.952461","created_date":"2025-10-10T00:00:00"}