{"id":"https://openalex.org/W4287888010","doi":"https://doi.org/10.1109/tim.2022.3192861","title":"An Industrial Process Monitoring Method Based on Entropy Projection Transformation Analysis","display_name":"An Industrial Process Monitoring Method Based on Entropy Projection Transformation Analysis","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4287888010","doi":"https://doi.org/10.1109/tim.2022.3192861"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2022.3192861","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2022.3192861","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","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/A5008550289","display_name":"Ying Yang","orcid":"https://orcid.org/0000-0002-1120-6085"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yinghua Yang","raw_affiliation_strings":["College of Information Science and Engineering, Northeastern University, Shenyang, China","Control theory and control engineering from Northeastern University, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0002-1120-6085","affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"Control theory and control engineering from Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003646996","display_name":"Qingyan Kong","orcid":"https://orcid.org/0000-0002-9141-7623"},"institutions":[{"id":"https://openalex.org/I4385474403","display_name":"Changchun University of Technology","ror":"https://ror.org/052pakb34","country_code":null,"type":"education","lineage":["https://openalex.org/I4385474403"]},{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingyan Kong","raw_affiliation_strings":["College of Information Science and Engineering, Northeastern University, Shenyang, China","Changchun University of Technology, Changchun, China"],"raw_orcid":"https://orcid.org/0000-0002-9141-7623","affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"Changchun University of Technology, Changchun, China","institution_ids":["https://openalex.org/I4385474403"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057305852","display_name":"Zhipeng Chao","orcid":"https://orcid.org/0000-0003-1640-8062"},"institutions":[{"id":"https://openalex.org/I36152291","display_name":"Henan University of Technology","ror":"https://ror.org/05sbgwt55","country_code":"CN","type":"education","lineage":["https://openalex.org/I36152291"]},{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhipeng Chao","raw_affiliation_strings":["College of Information Science and Engineering, Northeastern University, Shenyang, China","Henan University of Technology, Zhengzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-1640-8062","affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"Henan University of Technology, Zhengzhou, China","institution_ids":["https://openalex.org/I36152291"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053843012","display_name":"Peihong Li","orcid":"https://orcid.org/0000-0002-6024-4723"},"institutions":[{"id":"https://openalex.org/I176808543","display_name":"Liaoning Technical University","ror":"https://ror.org/01n2bd587","country_code":"CN","type":"education","lineage":["https://openalex.org/I176808543"]},{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peihong Li","raw_affiliation_strings":["College of Information Science and Engineering, Northeastern University, Shenyang, China","Liaoning Technical University, China"],"raw_orcid":"https://orcid.org/0000-0002-6024-4723","affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"Liaoning Technical University, China","institution_ids":["https://openalex.org/I176808543"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074896161","display_name":"Xiaozhi Liu","orcid":"https://orcid.org/0000-0002-6453-6299"},"institutions":[{"id":"https://openalex.org/I157507598","display_name":"Shenyang University of Technology","ror":"https://ror.org/00d7f8730","country_code":"CN","type":"education","lineage":["https://openalex.org/I157507598"]},{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaozhi Liu","raw_affiliation_strings":["College of Information Science and Engineering, Northeastern University, Shenyang, China","Control theory and control engineering from Northeastern University, Shenyang, China","Shenyang University of Technology, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0002-6453-6299","affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"Control theory and control engineering from Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"Shenyang University of Technology, Shenyang, China","institution_ids":["https://openalex.org/I157507598"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5008550289"],"corresponding_institution_ids":["https://openalex.org/I9224756"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08107486,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"71","issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9883000254631042,"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/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9804999828338623,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.6508448719978333},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5546629428863525},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5220979452133179},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.5177925825119019},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5168943405151367},{"id":"https://openalex.org/keywords/fault-detection-and-isolation","display_name":"Fault detection and isolation","score":0.4966147541999817},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48975658416748047},{"id":"https://openalex.org/keywords/projection-pursuit","display_name":"Projection pursuit","score":0.45424187183380127},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43332377076148987},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.432143896818161},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.4149356484413147},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.4136543273925781},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3479476571083069},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3153086304664612}],"concepts":[{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.6508448719978333},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5546629428863525},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5220979452133179},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.5177925825119019},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5168943405151367},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.4966147541999817},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48975658416748047},{"id":"https://openalex.org/C118038509","wikidata":"https://www.wikidata.org/wiki/Q382970","display_name":"Projection pursuit","level":2,"score":0.45424187183380127},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43332377076148987},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.432143896818161},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.4149356484413147},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.4136543273925781},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3479476571083069},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3153086304664612},{"id":"https://openalex.org/C172707124","wikidata":"https://www.wikidata.org/wiki/Q423488","display_name":"Actuator","level":2,"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2022.3192861","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2022.3192861","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4699999988079071,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G2422447498","display_name":null,"funder_award_id":"62073062","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":23,"referenced_works":["https://openalex.org/W1500895378","https://openalex.org/W1808644423","https://openalex.org/W1970529538","https://openalex.org/W1990519701","https://openalex.org/W2021040661","https://openalex.org/W2080008918","https://openalex.org/W2099111195","https://openalex.org/W2119436251","https://openalex.org/W2140095548","https://openalex.org/W2145997363","https://openalex.org/W2149803014","https://openalex.org/W2164979439","https://openalex.org/W2167122710","https://openalex.org/W2296557312","https://openalex.org/W2317912355","https://openalex.org/W2516336141","https://openalex.org/W2897085248","https://openalex.org/W2969278551","https://openalex.org/W3008912325","https://openalex.org/W3097066912","https://openalex.org/W3158668220","https://openalex.org/W3209798896","https://openalex.org/W4210736171"],"related_works":["https://openalex.org/W2144653557","https://openalex.org/W2347213675","https://openalex.org/W2609118866","https://openalex.org/W2169954946","https://openalex.org/W2362933353","https://openalex.org/W2010043809","https://openalex.org/W3011169017","https://openalex.org/W2386354261","https://openalex.org/W1761048557","https://openalex.org/W2522149079"],"abstract_inverted_index":{"The":[0],"feature":[1,44,55,94,110],"extraction":[2,56,101],"and":[3,8,57,71,80,92,134],"selection":[4],"of":[5,11,35,39,60,102,112,165],"process":[6,19,23,40,61,78,103,159,172],"variables":[7,41,79],"the":[9,36,43,54,75,81,93,100,109,120,135,143,163],"calculation":[10,138],"monitoring":[12,160,173],"statistics":[13],"are":[14,115,140],"inevitable":[15],"problems":[16],"in":[17,28],"industrial":[18,158],"monitoring.":[20,149],"A":[21],"new":[22],"detection":[24,167],"method":[25,139],"is":[26,51,90,96],"proposed":[27,52],"this":[29,107],"paper":[30],"that":[31,152],"makes":[32],"full":[33],"use":[34],"historical":[37,64],"information":[38,122,155],"for":[42,53],"extraction.":[45],"First,":[46],"a":[47,68,126,170],"projection":[48,86],"transformation":[49,87],"grid":[50],"dimensionality":[58],"reduction":[59],"variables.":[62],"Using":[63],"data":[65],"to":[66,74,98,118,146],"construct":[67],"joint":[69,82],"matrix":[70],"paying":[72],"attention":[73],"correlation":[76],"between":[77],"matrix,":[83],"an":[84],"entropy":[85,132,156],"component":[88],"(EPTC)":[89],"extracted,":[91],"weight":[95],"calculated":[97],"complete":[99],"variable":[104],"information.":[105],"On":[106],"basis,":[108],"differences":[111],"neighbouring":[113],"samples":[114],"further":[116],"evaluated":[117],"select":[119],"optimal":[121,154],"entropy.":[123],"In":[124],"addition,":[125],"statistic":[127],"based":[128],"on":[129],"smooth":[130],"relative":[131],"(SRE)":[133],"corresponding":[136],"threshold":[137],"proposed,":[141],"improving":[142],"model&#x2019;s":[144],"sensitivity":[145],"early":[147],"fault":[148,166],"Experiments":[150],"demonstrate":[151],"incorporating":[153],"into":[157],"can":[161],"improve":[162],"reliability":[164],"compared":[168],"with":[169],"traditional":[171],"model.":[174]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
