000118624 001__ 118624
000118624 005__ 20230519145533.0
000118624 0247_ $$2doi$$a10.1109/ACCESS.2021.3074588
000118624 0248_ $$2sideral$$a126466
000118624 037__ $$aART-2021-126466
000118624 041__ $$aeng
000118624 100__ $$aHerrero, AC
000118624 245__ $$aMitigating Electromagnetic Noise When Using Low-Cost Devices in Industry 4.0
000118624 260__ $$c2021
000118624 5060_ $$aAccess copy available to the general public$$fUnrestricted
000118624 5203_ $$aTransitioning toward Industry 4.0 requires major investment in devices and mechanisms enabling interconnectivity between people, machines, and processes. In this article, we present a low-cost system based on the Raspberry Pi platform to measure the overall equipment effectiveness (OEE) in real time, and we propose two filtering mechanisms for electromagnetic interferences (EMIs) to measure OEE accurately. The first EMI filtering mechanism is the database filter (DBF), which has been designed to record sealing signals accurately. The DBF works on the database by filtering erroneous signals that have been inserted in it. The second mechanism is the smart coded filter (SCF), which is used to filter erroneous signals associated with machine availability measurements. We have validated our proposal in several production lines in a food industry. The results show that our system works properly, and that it considerably reduces implementation costs compared with proprietary systems offering similar functions. After implementing the proposed system in actual industrial settings, the results show a mean error (ME) of -0.43% and a root mean square error (RMSE) of 4.85 in the sealing signals, and an error of 0% in the availability signal, thus enabling an accurate estimate of OEE.
000118624 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000118624 590__ $$a3.476$$b2021
000118624 591__ $$aCOMPUTER SCIENCE, INFORMATION SYSTEMS$$b79 / 164 = 0.482$$c2021$$dQ2$$eT2
000118624 591__ $$aTELECOMMUNICATIONS$$b43 / 93 = 0.462$$c2021$$dQ2$$eT2
000118624 591__ $$aENGINEERING, ELECTRICAL & ELECTRONIC$$b105 / 277 = 0.379$$c2021$$dQ2$$eT2
000118624 592__ $$a0.927$$b2021
000118624 593__ $$aComputer Science (miscellaneous)$$c2021$$dQ1
000118624 593__ $$aEngineering (miscellaneous)$$c2021$$dQ1
000118624 594__ $$a6.7$$b2021
000118624 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000118624 700__ $$0(orcid)0000-0001-7657-0075$$aSanguesa, JA$$uUniversidad de Zaragoza
000118624 700__ $$0(orcid)0000-0001-6945-7330$$aMartinez, FJ$$uUniversidad de Zaragoza
000118624 700__ $$0(orcid)0000-0002-1750-7225$$aGarrido, P$$uUniversidad de Zaragoza
000118624 700__ $$aCalafate, CT
000118624 7102_ $$15007$$2035$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Arquit.Tecnología Comput.
000118624 7102_ $$15007$$2570$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Lenguajes y Sistemas Inf.
000118624 773__ $$g9 (2021), 63267-63282$$pIEEE Access$$tIEEE Access$$x2169-3536
000118624 8564_ $$s2593163$$uhttps://zaguan.unizar.es/record/118624/files/texto_completo.pdf$$yVersión publicada
000118624 8564_ $$s2668150$$uhttps://zaguan.unizar.es/record/118624/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000118624 909CO $$ooai:zaguan.unizar.es:118624$$particulos$$pdriver
000118624 951__ $$a2023-05-18-15:33:06
000118624 980__ $$aARTICLE