{"id":"https://openalex.org/W3081562797","doi":"https://doi.org/10.1109/access.2020.3020136","title":"Edge Computing Enabled Production Anomalies Detection and Energy-Efficient Production Decision Approach for Discrete Manufacturing Workshops","display_name":"Edge Computing Enabled Production Anomalies Detection and Energy-Efficient Production Decision Approach for Discrete Manufacturing Workshops","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3081562797","doi":"https://doi.org/10.1109/access.2020.3020136","mag":"3081562797"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3020136","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3020136","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09179818.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09179818.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5035777296","display_name":"Chaoyang Zhang","orcid":"https://orcid.org/0000-0003-3552-8887"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaoyang Zhang","raw_affiliation_strings":["Jiangsu Key Laboratory of Advanced Food Manufacturing Equipment and Technology, Jiangnan University, Wuxi, China"],"raw_orcid":"https://orcid.org/0000-0003-3552-8887","affiliations":[{"raw_affiliation_string":"Jiangsu Key Laboratory of Advanced Food Manufacturing Equipment and Technology, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101874126","display_name":"Weixi Ji","orcid":"https://orcid.org/0000-0002-1386-4137"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weixi Ji","raw_affiliation_strings":["Jiangsu Key Laboratory of Advanced Food Manufacturing Equipment and Technology, Jiangnan University, Wuxi, China"],"raw_orcid":"https://orcid.org/0000-0002-1386-4137","affiliations":[{"raw_affiliation_string":"Jiangsu Key Laboratory of Advanced Food Manufacturing Equipment and Technology, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I111599522"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.635,"has_fulltext":true,"cited_by_count":33,"citation_normalized_percentile":{"value":0.91048234,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"8","issue":null,"first_page":"158197","last_page":"158207"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10763","display_name":"Digital Transformation in Industry","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T10763","display_name":"Digital Transformation in Industry","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9872999787330627,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.961899995803833,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7220392227172852},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6938676834106445},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.660271167755127},{"id":"https://openalex.org/keywords/production","display_name":"Production (economics)","score":0.6347102522850037},{"id":"https://openalex.org/keywords/discrete-manufacturing","display_name":"Discrete manufacturing","score":0.5254384875297546},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.49891138076782227},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.45676469802856445},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3695181608200073},{"id":"https://openalex.org/keywords/industrial-engineering","display_name":"Industrial engineering","score":0.3627833127975464},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.32611674070358276},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2410958707332611},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15480086207389832},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0864844024181366}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7220392227172852},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6938676834106445},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.660271167755127},{"id":"https://openalex.org/C2778348673","wikidata":"https://www.wikidata.org/wiki/Q739302","display_name":"Production (economics)","level":2,"score":0.6347102522850037},{"id":"https://openalex.org/C2780720960","wikidata":"https://www.wikidata.org/wiki/Q5282052","display_name":"Discrete manufacturing","level":3,"score":0.5254384875297546},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.49891138076782227},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.45676469802856445},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3695181608200073},{"id":"https://openalex.org/C13736549","wikidata":"https://www.wikidata.org/wiki/Q4489420","display_name":"Industrial engineering","level":1,"score":0.3627833127975464},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.32611674070358276},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2410958707332611},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15480086207389832},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0864844024181366},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.3020136","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3020136","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09179818.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:d2d9fe09df704d288a49ddfdc1b2ea7b","is_oa":true,"landing_page_url":"https://doaj.org/article/d2d9fe09df704d288a49ddfdc1b2ea7b","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 158197-158207 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3020136","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3020136","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09179818.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6700000166893005,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G2049664525","display_name":null,"funder_award_id":"51805213","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5556394177","display_name":null,"funder_award_id":"BK20170190","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321605","display_name":"Government of Jiangsu Province","ror":"https://ror.org/004svx814"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3081562797.pdf","grobid_xml":"https://content.openalex.org/works/W3081562797.grobid-xml"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W856269280","https://openalex.org/W1499199352","https://openalex.org/W1522301498","https://openalex.org/W1701927751","https://openalex.org/W1982445933","https://openalex.org/W1988260686","https://openalex.org/W2020692786","https://openalex.org/W2021218201","https://openalex.org/W2024139140","https://openalex.org/W2033800551","https://openalex.org/W2064675550","https://openalex.org/W2080761477","https://openalex.org/W2113076747","https://openalex.org/W2236464322","https://openalex.org/W2322883957","https://openalex.org/W2416799949","https://openalex.org/W2621805687","https://openalex.org/W2751904527","https://openalex.org/W2766401293","https://openalex.org/W2781301792","https://openalex.org/W2782605947","https://openalex.org/W2805602747","https://openalex.org/W2809067689","https://openalex.org/W2910886069","https://openalex.org/W2919549704","https://openalex.org/W2922299424","https://openalex.org/W2932097000","https://openalex.org/W2942044637","https://openalex.org/W2945002553","https://openalex.org/W2964753790","https://openalex.org/W3005161166","https://openalex.org/W3005331186","https://openalex.org/W3015565794","https://openalex.org/W3034504400","https://openalex.org/W6631190155","https://openalex.org/W6775371557"],"related_works":["https://openalex.org/W2004361691","https://openalex.org/W2356819012","https://openalex.org/W2053051931","https://openalex.org/W4229371585","https://openalex.org/W2788818439","https://openalex.org/W1480938558","https://openalex.org/W4242840380","https://openalex.org/W2075447437","https://openalex.org/W3039498702","https://openalex.org/W2143880850"],"abstract_inverted_index":{"Due":[0],"to":[1],"the":[2,31,91,144,148,153,162],"complexity":[3],"and":[4,27,39,44,62,82,99,109,168,173,180],"dynamics":[5],"of":[6,34,36,75,139,152,164],"manufacturing":[7,17,25,142,169],"processes,":[8],"there":[9],"are":[10,95],"various":[11],"production":[12,51,59,64,79,110,128,177],"anomalies":[13,52,60,80,171],"in":[14,69],"a":[15,21,136,140],"discrete":[16],"workshop,":[18],"which":[19],"have":[20],"strong":[22],"impact":[23],"on":[24,117],"quality":[26],"productivity.":[28],"Meanwhile,":[29],"with":[30],"rapid":[32],"development":[33],"Internet":[35],"Things":[37],"technology":[38],"communication":[40],"technology,":[41],"data":[42,94,104,167],"store":[43],"timely":[45],"response":[46],"become":[47],"new":[48],"challenges":[49],"for":[50],"detection.":[53],"Thus,":[54],"an":[55,73,101,123,126],"edge":[56,76],"computing":[57,77],"enabled":[58,78],"detection":[61,81,150],"energy-efficient":[63,83,127],"decision":[65,129],"approach":[66,85],"is":[67,86,107,114,156],"proposed":[68,154],"this":[70],"study.":[71],"Firstly,":[72],"architecture":[74],"rescheduling":[84],"introduced.":[87],"Then,":[88],"considering":[89],"that":[90,147],"raw":[92],"energy":[93,102,165,181],"always":[96],"large,":[97],"isolated":[98],"messy,":[100],"consumption":[103,166],"preprocessing":[105],"algorithm":[106],"established,":[108],"anomaly":[111,124,149],"analysis":[112,138],"model":[113],"constructed":[115],"based":[116],"long":[118],"short-term":[119],"memory":[120],"network.":[121],"When":[122],"occurs,":[125],"making":[130],"will":[131],"be":[132],"triggered.":[133],"Finally,":[134],"through":[135],"case":[137],"milling":[141],"system,":[143],"results":[145],"show":[146],"error":[151],"method":[155,160],"only":[157],"3.5%.":[158],"This":[159],"realizes":[161],"combination":[163],"system":[170],"detection,":[172],"can":[174],"further":[175],"assist":[176],"process":[178],"monitoring":[179],"conservation.":[182]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":5},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
