{"id":"https://openalex.org/W2980590857","doi":"https://doi.org/10.1109/etfa.2019.8869128","title":"Decentralized DPCA Model for Large-Scale Processes Monitoring","display_name":"Decentralized DPCA Model for Large-Scale Processes Monitoring","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W2980590857","doi":"https://doi.org/10.1109/etfa.2019.8869128","mag":"2980590857"},"language":"en","primary_location":{"id":"doi:10.1109/etfa.2019.8869128","is_oa":false,"landing_page_url":"https://doi.org/10.1109/etfa.2019.8869128","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://uvadoc.uva.es/bitstream/10324/45604/1/IEEE-ETFA2019.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5063420411","display_name":"Andres J. Sanchez\u2010Fernandez","orcid":"https://orcid.org/0000-0001-6743-3570"},"institutions":[{"id":"https://openalex.org/I108103353","display_name":"Universidad de Valladolid","ror":"https://ror.org/01fvbaw18","country_code":"ES","type":"education","lineage":["https://openalex.org/I108103353"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"A. Sanchez-Fernandez","raw_affiliation_strings":["Department of System Engineering and Automatic Control, EII, University of Valladolid, Valladolid, Spain"],"affiliations":[{"raw_affiliation_string":"Department of System Engineering and Automatic Control, EII, University of Valladolid, Valladolid, Spain","institution_ids":["https://openalex.org/I108103353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045319639","display_name":"M.J. Fuente","orcid":"https://orcid.org/0000-0001-6551-9952"},"institutions":[{"id":"https://openalex.org/I108103353","display_name":"Universidad de Valladolid","ror":"https://ror.org/01fvbaw18","country_code":"ES","type":"education","lineage":["https://openalex.org/I108103353"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"M.J. Fuente","raw_affiliation_strings":["Department of System Engineering and Automatic Control, EII, University of Valladolid, Valladolid, Spain"],"affiliations":[{"raw_affiliation_string":"Department of System Engineering and Automatic Control, EII, University of Valladolid, Valladolid, Spain","institution_ids":["https://openalex.org/I108103353"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070933046","display_name":"G.I. Sainz-Palmero","orcid":"https://orcid.org/0000-0002-4097-5633"},"institutions":[{"id":"https://openalex.org/I108103353","display_name":"Universidad de Valladolid","ror":"https://ror.org/01fvbaw18","country_code":"ES","type":"education","lineage":["https://openalex.org/I108103353"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"G.I. Sainz-Palmero","raw_affiliation_strings":["Department of System Engineering and Automatic Control, EII, University of Valladolid, Valladolid, Spain"],"affiliations":[{"raw_affiliation_string":"Department of System Engineering and Automatic Control, EII, University of Valladolid, Valladolid, Spain","institution_ids":["https://openalex.org/I108103353"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5063420411"],"corresponding_institution_ids":["https://openalex.org/I108103353"],"apc_list":null,"apc_paid":null,"fwci":0.168,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.49731696,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"625","last_page":"632"},"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":0.9936000108718872,"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":0.9916999936103821,"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/computer-science","display_name":"Computer science","score":0.7097970843315125},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6411681175231934},{"id":"https://openalex.org/keywords/fault-detection-and-isolation","display_name":"Fault detection and isolation","score":0.6143596768379211},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.5782044529914856},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5712787508964539},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5686719417572021},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5505627393722534},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5269834995269775},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.4907263517379761},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.4768082797527313},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.46296241879463196},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.446671724319458},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3544127941131592},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32435035705566406},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.18498581647872925},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0790151059627533}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7097970843315125},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6411681175231934},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.6143596768379211},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5782044529914856},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5712787508964539},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5686719417572021},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5505627393722534},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5269834995269775},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.4907263517379761},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.4768082797527313},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.46296241879463196},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.446671724319458},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3544127941131592},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32435035705566406},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.18498581647872925},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0790151059627533},{"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/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","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/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","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":2,"locations":[{"id":"doi:10.1109/etfa.2019.8869128","is_oa":false,"landing_page_url":"https://doi.org/10.1109/etfa.2019.8869128","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)","raw_type":"proceedings-article"},{"id":"pmh:oai:uvadoc.uva.es:10324/45604","is_oa":true,"landing_page_url":"http://uvadoc.uva.es/handle/10324/45604","pdf_url":"https://uvadoc.uva.es/bitstream/10324/45604/1/IEEE-ETFA2019.pdf","source":{"id":"https://openalex.org/S4306400688","display_name":"University of Valladolid Documentary Repository (University of Valladolid)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I108103353","host_organization_name":"Universidad de Valladolid","host_organization_lineage":["https://openalex.org/I108103353"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:uvadoc.uva.es:10324/45604","is_oa":true,"landing_page_url":"http://uvadoc.uva.es/handle/10324/45604","pdf_url":"https://uvadoc.uva.es/bitstream/10324/45604/1/IEEE-ETFA2019.pdf","source":{"id":"https://openalex.org/S4306400688","display_name":"University of Valladolid Documentary Repository (University of Valladolid)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I108103353","host_organization_name":"Universidad de Valladolid","host_organization_lineage":["https://openalex.org/I108103353"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2980590857.pdf","grobid_xml":"https://content.openalex.org/works/W2980590857.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W195815859","https://openalex.org/W636303388","https://openalex.org/W1501157468","https://openalex.org/W1673310716","https://openalex.org/W1948449072","https://openalex.org/W1970537494","https://openalex.org/W1997662494","https://openalex.org/W1999935041","https://openalex.org/W2001993543","https://openalex.org/W2004186751","https://openalex.org/W2008616192","https://openalex.org/W2015715489","https://openalex.org/W2033228602","https://openalex.org/W2077791644","https://openalex.org/W2099111195","https://openalex.org/W2137922462","https://openalex.org/W2137932608","https://openalex.org/W2141741499","https://openalex.org/W2142704389","https://openalex.org/W2147703419","https://openalex.org/W2316093926","https://openalex.org/W2342648890","https://openalex.org/W2478708596","https://openalex.org/W2512404959","https://openalex.org/W2560667237","https://openalex.org/W2757109865","https://openalex.org/W2766692256","https://openalex.org/W2897745724","https://openalex.org/W2899246678"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2130974462","https://openalex.org/W1975632186","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W972276598","https://openalex.org/W4246352526","https://openalex.org/W2474947501"],"abstract_inverted_index":{"Monitoring":[0],"large-scale":[1,26],"processes":[2],"is":[3],"a":[4,118],"crucial":[5],"task":[6],"to":[7,80,104],"ensure":[8],"the":[9,14,32,70,82,86,90,95,105],"safety":[10],"and":[11,38,121],"reliability":[12],"of":[13,31,92,94],"plants.":[15],"This":[16,74],"paper":[17,75],"proposes":[18],"an":[19],"approach":[20],"for":[21,85],"decentralized":[22,123],"fault":[23,96],"detection":[24,97],"in":[25,53],"processes.":[27],"The":[28,63,99],"measured":[29],"variables":[30],"plant":[33,83],"are":[34,51,66],"divided":[35],"into":[36],"multiple":[37],"possibly":[39],"overlapping":[40],"blocks":[41],"using":[42,56],"different":[43,78],"techniques":[44,79],"based":[45],"on":[46],"data.":[47],"Local":[48],"monitoring":[49],"methods":[50],"applied":[52,103],"each":[54],"block":[55],"DPCA":[57],"(Dynamic":[58],"Principal":[59],"Component":[60],"Analysis)":[61],"model.":[62],"local":[64],"results":[65],"then":[67],"fused":[68],"by":[69],"Bayesian":[71],"inference":[72],"strategy.":[73],"also":[76],"compares":[77],"decompose":[81],"looking":[84],"best":[87],"strategy":[88],"from":[89],"point":[91],"view":[93],"results.":[98],"proposed":[100],"method":[101,120],"was":[102],"widely":[106],"used":[107],"benchmark":[108],"Tennessee":[109],"Eastman":[110],"Process,":[111],"showing":[112],"its":[113],"effectiveness":[114],"when":[115],"compared":[116],"with":[117],"centralized":[119],"another":[122],"technique.":[124]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-11T14:59:36.786465","created_date":"2025-10-10T00:00:00"}
