{"id":"https://openalex.org/W2979308940","doi":"https://doi.org/10.1109/systol.2019.8864766","title":"Process Monitoring Platform based on Industry 4.0 tools: a waste-to-energy plant case study","display_name":"Process Monitoring Platform based on Industry 4.0 tools: a waste-to-energy plant case study","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W2979308940","doi":"https://doi.org/10.1109/systol.2019.8864766","mag":"2979308940"},"language":"en","primary_location":{"id":"doi:10.1109/systol.2019.8864766","is_oa":false,"landing_page_url":"https://doi.org/10.1109/systol.2019.8864766","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 4th Conference on Control and Fault Tolerant Systems (SysTol)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://research.aalto.fi/en/publications/3e44cceb-c129-49f0-8468-f8c7aa92a791","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061803885","display_name":"James Clovis Kabugo","orcid":"https://orcid.org/0009-0008-2465-913X"},"institutions":[{"id":"https://openalex.org/I9927081","display_name":"Aalto University","ror":"https://ror.org/020hwjq30","country_code":"FI","type":"education","lineage":["https://openalex.org/I9927081"]}],"countries":["FI"],"is_corresponding":true,"raw_author_name":"James Clovis Kabugo","raw_affiliation_strings":["Department of Chemical and Metallurgical Engineering, Aalto University, Espoo, Finland"],"affiliations":[{"raw_affiliation_string":"Department of Chemical and Metallurgical Engineering, Aalto University, Espoo, Finland","institution_ids":["https://openalex.org/I9927081"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063003050","display_name":"Sirkka\u2010Liisa J\u00e4ms\u00e4\u2010Jounela","orcid":"https://orcid.org/0000-0002-2495-2300"},"institutions":[{"id":"https://openalex.org/I9927081","display_name":"Aalto University","ror":"https://ror.org/020hwjq30","country_code":"FI","type":"education","lineage":["https://openalex.org/I9927081"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Sirkka-Liisa Jamsa-Jounela","raw_affiliation_strings":["Department of Chemical and Metallurgical Engineering, Aalto University, Espoo, Finland"],"affiliations":[{"raw_affiliation_string":"Department of Chemical and Metallurgical Engineering, Aalto University, Espoo, Finland","institution_ids":["https://openalex.org/I9927081"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050055959","display_name":"Robert Schiemann","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Robert Schiemann","raw_affiliation_strings":["Outotec GmbH, Frankfurt, Germany"],"affiliations":[{"raw_affiliation_string":"Outotec GmbH, Frankfurt, Germany","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047472119","display_name":"Christian Binder","orcid":"https://orcid.org/0000-0002-1003-0700"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Christian Binder","raw_affiliation_strings":["Outotec GmbH, Frankfurt, Germany"],"affiliations":[{"raw_affiliation_string":"Outotec GmbH, Frankfurt, Germany","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5061803885"],"corresponding_institution_ids":["https://openalex.org/I9927081"],"apc_list":null,"apc_paid":null,"fwci":0.1681,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.49409061,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"31","issue":null,"first_page":"264","last_page":"269"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9954000115394592,"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":0.9954000115394592,"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":0.9897000193595886,"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.988099992275238,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/nonlinear-autoregressive-exogenous-model","display_name":"Nonlinear autoregressive exogenous model","score":0.8644392490386963},{"id":"https://openalex.org/keywords/syngas","display_name":"Syngas","score":0.5736762881278992},{"id":"https://openalex.org/keywords/process-engineering","display_name":"Process engineering","score":0.5723196864128113},{"id":"https://openalex.org/keywords/flue-gas","display_name":"Flue gas","score":0.5610314011573792},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.510875403881073},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4977762997150421},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4528175890445709},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4518829584121704},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.4344910681247711},{"id":"https://openalex.org/keywords/waste-heat-recovery-unit","display_name":"Waste heat recovery unit","score":0.4129483103752136},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.373592346906662},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.23455405235290527},{"id":"https://openalex.org/keywords/waste-management","display_name":"Waste management","score":0.21611487865447998},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21451175212860107},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.15427106618881226},{"id":"https://openalex.org/keywords/heat-exchanger","display_name":"Heat exchanger","score":0.15199828147888184}],"concepts":[{"id":"https://openalex.org/C42536954","wikidata":"https://www.wikidata.org/wiki/Q7049462","display_name":"Nonlinear autoregressive exogenous model","level":3,"score":0.8644392490386963},{"id":"https://openalex.org/C194439259","wikidata":"https://www.wikidata.org/wiki/Q3273339","display_name":"Syngas","level":3,"score":0.5736762881278992},{"id":"https://openalex.org/C21880701","wikidata":"https://www.wikidata.org/wiki/Q2144042","display_name":"Process engineering","level":1,"score":0.5723196864128113},{"id":"https://openalex.org/C167206829","wikidata":"https://www.wikidata.org/wiki/Q2556360","display_name":"Flue gas","level":2,"score":0.5610314011573792},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.510875403881073},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4977762997150421},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4528175890445709},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4518829584121704},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.4344910681247711},{"id":"https://openalex.org/C105994980","wikidata":"https://www.wikidata.org/wiki/Q15081379","display_name":"Waste heat recovery unit","level":3,"score":0.4129483103752136},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.373592346906662},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.23455405235290527},{"id":"https://openalex.org/C548081761","wikidata":"https://www.wikidata.org/wiki/Q180388","display_name":"Waste management","level":1,"score":0.21611487865447998},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21451175212860107},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.15427106618881226},{"id":"https://openalex.org/C107706546","wikidata":"https://www.wikidata.org/wiki/Q189124","display_name":"Heat exchanger","level":2,"score":0.15199828147888184},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","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/C512968161","wikidata":"https://www.wikidata.org/wiki/Q556","display_name":"Hydrogen","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/systol.2019.8864766","is_oa":false,"landing_page_url":"https://doi.org/10.1109/systol.2019.8864766","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 4th Conference on Control and Fault Tolerant Systems (SysTol)","raw_type":"proceedings-article"},{"id":"pmh:oai:aaltodoc.aalto.fi:123456789/41063","is_oa":true,"landing_page_url":"https://research.aalto.fi/en/publications/3e44cceb-c129-49f0-8468-f8c7aa92a791","pdf_url":null,"source":{"id":"https://openalex.org/S4306401663","display_name":"Aaltodoc (Aalto University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I9927081","host_organization_name":"Aalto University","host_organization_lineage":["https://openalex.org/I9927081"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"acceptedVersion"}],"best_oa_location":{"id":"pmh:oai:aaltodoc.aalto.fi:123456789/41063","is_oa":true,"landing_page_url":"https://research.aalto.fi/en/publications/3e44cceb-c129-49f0-8468-f8c7aa92a791","pdf_url":null,"source":{"id":"https://openalex.org/S4306401663","display_name":"Aaltodoc (Aalto University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I9927081","host_organization_name":"Aalto University","host_organization_lineage":["https://openalex.org/I9927081"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"acceptedVersion"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.5099999904632568,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2085862958","https://openalex.org/W2187877333","https://openalex.org/W2473849514","https://openalex.org/W2535540889","https://openalex.org/W2538959687","https://openalex.org/W2756735023","https://openalex.org/W2885902739","https://openalex.org/W2916641566"],"related_works":["https://openalex.org/W2606910468","https://openalex.org/W2734185189","https://openalex.org/W4382361623","https://openalex.org/W2981300935","https://openalex.org/W1965037199","https://openalex.org/W2799656149","https://openalex.org/W2521316626","https://openalex.org/W2022690141","https://openalex.org/W4384201155","https://openalex.org/W4311089439"],"abstract_inverted_index":{"This":[0],"work":[1,60],"presents":[2],"a":[3,51,104],"process":[4],"data":[5],"analytics":[6],"platform":[7,16,39],"built":[8],"around":[9],"the":[10,18,38,43,56,59,78],"concept":[11],"of":[12,22,37,45,94],"industry":[13,20],"4.0.":[14],"The":[15,34],"utilizes":[17],"state-of-the-art":[19],"internet":[21],"things":[23],"(IIoT)":[24],"platforms,":[25],"machine":[26],"learning":[27],"(ML)":[28],"algorithms":[29],"and":[30,70,99],"big-data":[31],"software":[32],"tools.":[33],"industrial":[35],"applicability":[36],"was":[40],"demonstrated":[41,89],"by":[42],"development":[44],"soft":[46,63],"sensors":[47,64],"for":[48],"use":[49],"in":[50,92,103],"waste-to-energy":[52],"(WTE)":[53],"plant.":[54],"In":[55],"case":[57],"study,":[58],"studied":[61],"data-driven":[62,76],"to":[65],"predict":[66],"syngas":[67,96],"heating":[68,97],"value":[69,98],"hot":[71],"flue":[72,100],"gas":[73,101],"temperature.":[74],"From":[75],"models,":[77],"neural":[79],"network":[80],"based":[81],"nonlinear":[82],"autoregressive":[83],"with":[84],"external":[85],"input":[86],"(NARX)":[87],"model":[88],"better":[90],"performance":[91],"prediction":[93],"both":[95],"temperature":[102],"WTE":[105],"process.":[106]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-29T08:15:47.926485","created_date":"2025-10-10T00:00:00"}
