Mostra el registre d'ítem simple

dc.contributor.authorGiovanni Mattera, Claudio
dc.contributor.authorQuevedo Casín, Joseba Jokin
dc.contributor.authorEscobet Canal, Teresa
dc.contributor.authorReza Shaker, Hamir
dc.contributor.authorJradi, Muhyiddine
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria Minera, Industrial i TIC
dc.date.accessioned2019-09-03T07:42:03Z
dc.date.available2019-09-03T07:42:03Z
dc.date.issued2018
dc.identifier.citationClaudio Giovanni Mattera [et al.]. Fault detection and diagnostics in ventilation units using linear regression virtual sensors. A: ISAECT - IEEE International Symposium on Advanced Electrical and Communication Technologies. "ISAECT 2018 - IEEE International Symposium on Advanced Electrical and Communication Technologies, Rabat, Morocco, 21-23 November 2018, proceedings book". 2018, p. 1-6.
dc.identifier.otherIEEE Xplore
dc.identifier.urihttp://hdl.handle.net/2117/167866
dc.description.abstractBuildings represent a significant portion of global energy consumption. Ventilation units are one of the largest components in buildings systems and are responsible for large part of energy consumption. Ventilation units are complex components, often customized for the specific building. Their faults impact buildings' energy efficiency and occupancy comfort. In order to ensure their correct operation, proper Fault Detection and Diagnostics methods must be applied. Hardware redundancy, an effective approach to detect faults, leads to increased costs and space requirements. We propose to exploit physical relations inside the unit to create virtual sensors from other sensors' readings, introducing redundancy in the system. We create linear regression models for three sensors using other sensors related through physical laws as inputs. We use two different measures to detect when a virtual sensor deviates from the actual one: coefficient of determination and acceptable range. We test our method on a real building at the University of Southern Denmark. Our method detects a fault in temperature sensor, where its readings have an abnormal trend and fall outside acceptable ranae for one day.
dc.format.extent6 p.
dc.language.isoeng
dc.subjectÀrees temàtiques de la UPC::Edificació::Instal·lacions i acondicionament d'edificis::Instal·lacions de ventilació
dc.subjectÀrees temàtiques de la UPC::Informàtica::Automàtica i control
dc.subject.lcshTemperature control
dc.subject.lcshAutomatic control
dc.subject.lcshVentilation
dc.subject.otherfault detection and diagnosis
dc.subject.othervirtual sensors
dc.subject.otherHVAC
dc.subject.othersmart buildings
dc.titleFault detection and diagnostics in ventilation units using linear regression virtual sensors
dc.typeConference report
dc.subject.lemacTemperatura--Control
dc.subject.lemacControl automàtic
dc.subject.lemacVentilació
dc.contributor.groupUniversitat Politècnica de Catalunya. SAC - Sistemes Avançats de Control
dc.identifier.doi10.1109/ISAECT.2018.8618755
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/8618755
dc.rights.accessOpen Access
local.identifier.drac25802011
dc.description.versionPostprint (author's final draft)
dc.relation.projectidinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/DPI2017-88403-R/ES/SEGURIDAD Y CONTROL EN VEHICULOS AUTONOMOS/
local.citation.authorClaudio Giovanni Mattera; Quevedo, J.; Escobet, T.; Hamid Reza Shaker; Muhyiddine Jradi
local.citation.contributorISAECT - IEEE International Symposium on Advanced Electrical and Communication Technologies
local.citation.publicationNameISAECT 2018 - IEEE International Symposium on Advanced Electrical and Communication Technologies, Rabat, Morocco, 21-23 November 2018, proceedings book
local.citation.startingPage1
local.citation.endingPage6


Fitxers d'aquest items

Thumbnail

Aquest ítem apareix a les col·leccions següents

Mostra el registre d'ítem simple