{"id":"https://openalex.org/W2580937131","doi":"https://doi.org/10.1109/tii.2017.2658732","title":"Distributed Parallel PCA for Modeling and Monitoring of Large-Scale Plant-Wide Processes With Big Data","display_name":"Distributed Parallel PCA for Modeling and Monitoring of Large-Scale Plant-Wide Processes With Big Data","publication_year":2017,"publication_date":"2017-01-26","ids":{"openalex":"https://openalex.org/W2580937131","doi":"https://doi.org/10.1109/tii.2017.2658732","mag":"2580937131"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2017.2658732","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2017.2658732","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Industrial Informatics","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/A5005818978","display_name":"Jinlin Zhu","orcid":"https://orcid.org/0000-0002-4296-5914"},"institutions":[{"id":"https://openalex.org/I4391767838","display_name":"State Key Laboratory of Industrial Control Technology","ror":"https://ror.org/03a33a786","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391767838","https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jinlin Zhu","raw_affiliation_strings":["State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I4391767838"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067726465","display_name":"Zhiqiang Ge","orcid":"https://orcid.org/0000-0002-2071-4380"},"institutions":[{"id":"https://openalex.org/I4391767838","display_name":"State Key Laboratory of Industrial Control Technology","ror":"https://ror.org/03a33a786","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391767838","https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiqiang Ge","raw_affiliation_strings":["State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I4391767838"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048733958","display_name":"Zhihuan Song","orcid":"https://orcid.org/0000-0003-4098-6479"},"institutions":[{"id":"https://openalex.org/I4391767838","display_name":"State Key Laboratory of Industrial Control Technology","ror":"https://ror.org/03a33a786","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391767838","https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihuan Song","raw_affiliation_strings":["State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I4391767838"]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5005818978"],"corresponding_institution_ids":["https://openalex.org/I4391767838"],"apc_list":null,"apc_paid":null,"fwci":27.1119,"has_fulltext":false,"cited_by_count":282,"citation_normalized_percentile":{"value":0.99835024,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"13","issue":"4","first_page":"1877","last_page":"1885"},"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/T10791","display_name":"Advanced Control Systems Optimization","score":0.9907000064849854,"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":0.9894000291824341,"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/computer-science","display_name":"Computer science","score":0.7282123565673828},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.6557064056396484},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.6275643110275269},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6168878078460693},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5838891267776489},{"id":"https://openalex.org/keywords/fault-detection-and-isolation","display_name":"Fault detection and isolation","score":0.5627531409263611},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5527403354644775},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.5486845970153809},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5407557487487793},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.510038435459137},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.49822473526000977},{"id":"https://openalex.org/keywords/distributed-computing-environment","display_name":"Distributed Computing Environment","score":0.4187396168708801},{"id":"https://openalex.org/keywords/distributed-database","display_name":"Distributed database","score":0.4128715693950653},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3682539463043213},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21268507838249207},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.15518084168434143},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09097880125045776}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7282123565673828},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.6557064056396484},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.6275643110275269},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6168878078460693},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5838891267776489},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.5627531409263611},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5527403354644775},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.5486845970153809},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5407557487487793},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.510038435459137},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.49822473526000977},{"id":"https://openalex.org/C3739613","wikidata":"https://www.wikidata.org/wiki/Q679003","display_name":"Distributed Computing Environment","level":2,"score":0.4187396168708801},{"id":"https://openalex.org/C70061542","wikidata":"https://www.wikidata.org/wiki/Q989016","display_name":"Distributed database","level":2,"score":0.4128715693950653},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3682539463043213},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21268507838249207},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.15518084168434143},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09097880125045776},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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},{"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/tii.2017.2658732","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2017.2658732","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Industrial Informatics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.6000000238418579}],"awards":[{"id":"https://openalex.org/G5014602333","display_name":null,"funder_award_id":"61573308","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":31,"referenced_works":["https://openalex.org/W108857541","https://openalex.org/W1429921896","https://openalex.org/W1963611305","https://openalex.org/W1966863755","https://openalex.org/W1970537494","https://openalex.org/W1973747955","https://openalex.org/W1988455509","https://openalex.org/W1998092191","https://openalex.org/W2002268936","https://openalex.org/W2004186751","https://openalex.org/W2015436473","https://openalex.org/W2049740619","https://openalex.org/W2063823978","https://openalex.org/W2097543469","https://openalex.org/W2103711750","https://openalex.org/W2106849258","https://openalex.org/W2143288231","https://openalex.org/W2147703419","https://openalex.org/W2158958729","https://openalex.org/W2171647935","https://openalex.org/W2173213060","https://openalex.org/W2275031392","https://openalex.org/W2276512949","https://openalex.org/W2293850855","https://openalex.org/W2316093926","https://openalex.org/W2322097696","https://openalex.org/W2334600712","https://openalex.org/W2343294774","https://openalex.org/W2995564009","https://openalex.org/W4245241719","https://openalex.org/W6681290967"],"related_works":["https://openalex.org/W3009866696","https://openalex.org/W127900883","https://openalex.org/W2153883657","https://openalex.org/W997248972","https://openalex.org/W2368240274","https://openalex.org/W2539081058","https://openalex.org/W2013919567","https://openalex.org/W2509957587","https://openalex.org/W2008246492","https://openalex.org/W2152545933"],"abstract_inverted_index":{"In":[0],"order":[1,50],"to":[2,51],"deal":[3],"with":[4,14,43,56,98],"the":[5,30,34,53,74,116,125,137,143],"modeling":[6,54,94],"and":[7,19,65,78,109,131],"monitoring":[8],"issue":[9,55],"of":[10,76,95,136],"large-scale":[11,35,57,96,118],"industrial":[12],"processes":[13,97],"big":[15,99],"data,":[16],"a":[17,44,63,105],"distributed":[18,41,64,87],"parallel":[20,66],"designed":[21,113],"principal":[22,80],"component":[23],"analysis":[24],"approach":[25],"is":[26,37,70,112,140],"proposed.":[27],"To":[28],"handle":[29],"high-dimensional":[31],"process":[32,36,46,119],"variables,":[33],"first":[38],"decomposed":[39],"into":[40],"blocks":[42],"priori":[45],"knowledge.":[47],"Afterward,":[48],"in":[49,60],"solve":[52],"data":[58,67,100],"chunks":[59],"each":[61,86],"block,":[62],"processing":[68],"strategy":[69],"proposed":[71,138],"based":[72],"on":[73],"framework":[75],"MapReduce":[77],"then":[79],"components":[81],"are":[82],"further":[83],"extracted":[84],"for":[85],"block.":[88],"With":[89],"all":[90],"these":[91],"steps,":[92],"statistical":[93],"can":[101,120],"be":[102,121],"established.":[103],"Finally,":[104],"systematic":[106],"fault":[107],"detection":[108],"isolation":[110],"scheme":[111],"so":[114],"that":[115],"whole":[117],"hierarchically":[122],"monitored":[123],"from":[124],"plant-wide":[126],"level,":[127,130],"unit":[128],"block":[129],"variable":[132],"level.":[133],"The":[134],"effectiveness":[135],"method":[139],"evaluated":[141],"through":[142],"Tennessee":[144],"Eastman":[145],"benchmark":[146],"process.":[147]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":23},{"year":2023,"cited_by_count":29},{"year":2022,"cited_by_count":42},{"year":2021,"cited_by_count":33},{"year":2020,"cited_by_count":39},{"year":2019,"cited_by_count":54},{"year":2018,"cited_by_count":31},{"year":2017,"cited_by_count":9}],"updated_date":"2026-04-06T07:47:59.780226","created_date":"2025-10-10T00:00:00"}
