Fault Detection and Diagnostics in Ventilation Units Using Linear Regression Virtual Sensors

Claudio Giovanni Mattera, Joseba Quevedo, Teresa Escobet, Hamid Reza Shaker, Muhyiddine Jradi

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

Buildings 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.
Original languageEnglish
Title of host publicationProceedings of the 2018 International Symposium on Advanced Electrical and Communication Technologies
EditorsMohamed Nabil Srifi, Mounir Arioua, Boulmalef Mohammed
Number of pages6
PublisherIEEE
Publication date2018
Article number8618755
ISBN (Print)978-1-5386-7329-4
ISBN (Electronic)9781538673287
DOIs
Publication statusPublished - 2018
Event2018 International Symposium on Advanced Electrical and Communication Technologies - Rabat, Morocco
Duration: 21. Nov 201823. Nov 2018

Conference

Conference2018 International Symposium on Advanced Electrical and Communication Technologies
Country/TerritoryMorocco
CityRabat
Period21/11/201823/11/2018

Keywords

  • HVAC
  • fault detection and diagnosis
  • smart buildings
  • virtual sensors

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