{"id":"https://openalex.org/W3210349682","doi":"https://doi.org/10.1109/tr.2021.3115108","title":"Novel Discriminant Locality Preserving Projection Integrated With Monte Carlo Sampling for Fault Diagnosis","display_name":"Novel Discriminant Locality Preserving Projection Integrated With Monte Carlo Sampling for Fault Diagnosis","publication_year":2021,"publication_date":"2021-10-27","ids":{"openalex":"https://openalex.org/W3210349682","doi":"https://doi.org/10.1109/tr.2021.3115108","mag":"3210349682"},"language":"en","primary_location":{"id":"doi:10.1109/tr.2021.3115108","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tr.2021.3115108","pdf_url":null,"source":{"id":"https://openalex.org/S87725633","display_name":"IEEE Transactions on Reliability","issn_l":"0018-9529","issn":["0018-9529","1558-1721"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Reliability","raw_type":"journal-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/A5045331954","display_name":"Yan\u2010Lin He","orcid":"https://orcid.org/0000-0001-9999-3679"},"institutions":[{"id":"https://openalex.org/I75390827","display_name":"Beijing University of Chemical Technology","ror":"https://ror.org/00df5yc52","country_code":"CN","type":"education","lineage":["https://openalex.org/I75390827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan-Lin He","raw_affiliation_strings":["College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-9999-3679","affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China","institution_ids":["https://openalex.org/I75390827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101567960","display_name":"Kun Li","orcid":"https://orcid.org/0000-0003-1722-7714"},"institutions":[{"id":"https://openalex.org/I75390827","display_name":"Beijing University of Chemical Technology","ror":"https://ror.org/00df5yc52","country_code":"CN","type":"education","lineage":["https://openalex.org/I75390827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kun Li","raw_affiliation_strings":["College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-1722-7714","affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China","institution_ids":["https://openalex.org/I75390827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005102431","display_name":"Lilong Liang","orcid":null},"institutions":[{"id":"https://openalex.org/I75390827","display_name":"Beijing University of Chemical Technology","ror":"https://ror.org/00df5yc52","country_code":"CN","type":"education","lineage":["https://openalex.org/I75390827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li-Long Liang","raw_affiliation_strings":["College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China","institution_ids":["https://openalex.org/I75390827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060223712","display_name":"Yuan Xu","orcid":"https://orcid.org/0000-0001-5490-2892"},"institutions":[{"id":"https://openalex.org/I75390827","display_name":"Beijing University of Chemical Technology","ror":"https://ror.org/00df5yc52","country_code":"CN","type":"education","lineage":["https://openalex.org/I75390827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Xu","raw_affiliation_strings":["College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-5490-2892","affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China","institution_ids":["https://openalex.org/I75390827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054385364","display_name":"Qunxiong Zhu","orcid":"https://orcid.org/0000-0002-2719-0516"},"institutions":[{"id":"https://openalex.org/I75390827","display_name":"Beijing University of Chemical Technology","ror":"https://ror.org/00df5yc52","country_code":"CN","type":"education","lineage":["https://openalex.org/I75390827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qun-Xiong Zhu","raw_affiliation_strings":["College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-2719-0516","affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China","institution_ids":["https://openalex.org/I75390827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I75390827"],"apc_list":null,"apc_paid":null,"fwci":2.7777,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.9054587,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"72","issue":"1","first_page":"166","last_page":"176"},"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/T12282","display_name":"Mineral Processing and Grinding","score":0.9984999895095825,"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":0.9610000252723694,"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/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.5985324382781982},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5830387473106384},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.576771080493927},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.5660602450370789},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.4943814277648926},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.49294400215148926},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.463384747505188},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.4189216196537018},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.391205370426178},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3807472586631775},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.21904125809669495}],"concepts":[{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.5985324382781982},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5830387473106384},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.576771080493927},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.5660602450370789},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.4943814277648926},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.49294400215148926},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.463384747505188},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.4189216196537018},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.391205370426178},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3807472586631775},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.21904125809669495}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tr.2021.3115108","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tr.2021.3115108","pdf_url":null,"source":{"id":"https://openalex.org/S87725633","display_name":"IEEE Transactions on Reliability","issn_l":"0018-9529","issn":["0018-9529","1558-1721"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Reliability","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.6299999952316284,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G2174988415","display_name":"\u590d\u6742\u8fc7\u7a0b\u7cfb\u7edf\u865a\u62df\u6837\u672c\u751f\u6210\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61973024","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8751590961","display_name":null,"funder_award_id":"62073022","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1562962277","https://openalex.org/W2033566011","https://openalex.org/W2045786596","https://openalex.org/W2051940462","https://openalex.org/W2095469431","https://openalex.org/W2128728535","https://openalex.org/W2158958729","https://openalex.org/W2169658215","https://openalex.org/W2170392962","https://openalex.org/W2176097074","https://openalex.org/W2298783607","https://openalex.org/W2318574684","https://openalex.org/W2563202971","https://openalex.org/W2605315194","https://openalex.org/W2763172947","https://openalex.org/W2763633631","https://openalex.org/W2780480991","https://openalex.org/W2791840139","https://openalex.org/W2792853279","https://openalex.org/W2809137896","https://openalex.org/W2809178681","https://openalex.org/W2886942645","https://openalex.org/W2899708459","https://openalex.org/W2922158313","https://openalex.org/W2973942754","https://openalex.org/W2982255046","https://openalex.org/W2986568977","https://openalex.org/W2991319018","https://openalex.org/W3002912409","https://openalex.org/W3008058450","https://openalex.org/W3037104914","https://openalex.org/W3102904972","https://openalex.org/W3127882994"],"related_works":["https://openalex.org/W2579148721","https://openalex.org/W2052589448","https://openalex.org/W2765337000","https://openalex.org/W4387893611","https://openalex.org/W2347335694","https://openalex.org/W2091056927","https://openalex.org/W2067407580","https://openalex.org/W4317486777","https://openalex.org/W2391447249","https://openalex.org/W3104072235"],"abstract_inverted_index":{"In":[0,126],"complex":[1,29],"industrial":[2,30],"processes,":[3],"the":[4,18,25,33,48,72,83,89,92,97,118,127,145,148,153,156,159,162,171,184,187,195,205],"technique":[5],"of":[6,20,28,35,56,74,85,91,120,147,155,161,165,186],"fault":[7,49,138,142,151,180,190,212],"diagnosis":[8],"has":[9],"been":[10],"playing":[11],"an":[12],"increasingly":[13],"considerable":[14],"role":[15],"in":[16,68,88,158,211],"ensuring":[17],"safety":[19],"life":[21],"and":[22],"property.":[23],"Unfortunately,":[24],"process":[26,198],"data":[27,42,50],"processes":[31],"have":[32],"features":[34],"high":[36,52],"dimension.":[37,53],"Feature":[38],"extraction":[39,122],"from":[40],"high-dimensional":[41],"is":[43,80,114,133,177],"promising":[44],"to":[45,82,116,136],"coping":[46],"with":[47,51,110],"Recently,":[54],"one":[55],"manifold":[57],"learning":[58],"methods":[59],"named":[60],"discriminant":[61,75],"locality":[62,76],"preserving":[63,77],"projection":[64,78],"achieves":[65,208],"excellent":[66],"performance":[67,73,119,185],"feature":[69,121],"extraction.":[70],"However,":[71],"(DLPP)":[79],"subject":[81],"problem":[84],"matrix":[86,157],"decomposition":[87],"denominator":[90,160],"objection":[93,163],"function":[94,164],"caused":[95],"by":[96],"small":[98],"sample":[99],"size":[100],"(SSS)":[101],"issue.":[102],"To":[103,182],"overcome":[104],"this":[105],"limitation,":[106],"novel":[107],"DLPP":[108,166],"integrated":[109],"Monte":[111,130],"Carlo":[112,131],"sampling":[113,132],"proposed":[115,128],"enhance":[117],"through":[123],"dimensionality":[124],"reduction.":[125],"MC-DLPP,":[129],"first":[134],"utilized":[135],"generate":[137],"samples":[139],"for":[140,179],"each":[141],"type.":[143],"With":[144],"aid":[146],"virtually":[149],"generated":[150],"samples,":[152],"rank":[154],"increases,":[167],"thus":[168],"well":[169],"addressing":[170],"SSS":[172],"problem.":[173],"The":[174],"Softmax":[175],"classifier":[176],"used":[178],"diagnosis.":[181,213],"test":[183],"improved":[188],"DLPP-based":[189],"diagnosis,":[191],"case":[192],"studies":[193],"using":[194],"Tennessee":[196],"Eastman":[197],"are":[199],"carried":[200],"out.":[201],"Simulation":[202],"results":[203],"confirm":[204],"presented":[206],"MC-DLPP":[207],"superior":[209],"accuracy":[210]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":2}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}