Automatic thresholding for sensor data gap detection using statistical approach

Houda Najeh*, Mahendra Pratap Singh, Stéphane Ploix, Karim Chabir, Mohamed Naceur Abdelkrim

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Publikation: Kapitel i bog/rapport/konference-proceedingKonferencebidrag i proceedingsForskningpeer review

Abstrakt

Sensors are currently being used for applications in buildings. In sensor grids, a significant amount of sensor data may be lost. This paper tackles the issue of unreliable sensors in buildings. The common sensor faults known in the literature are bias and outliers. Occurrences of data gaps have not been given adequate attention in the research literature. A methodology based on statistical approach allows the automatic thresholding for data gap detection, i.e., abnormalities on the delay for a set of heterogeneous sensors in instrumented buildings. The efficiency of the method is evaluated on measurements obtained from a real building: an office at Grenoble Institute of technology with a large number of sensors.

OriginalsprogEngelsk
TitelSustainability in Energy and Buildings - Proceedings of SEB 2019
RedaktørerJohn Littlewood, Robert J. Howlett, Alfonso Capozzoli, Lakhmi C. Jain
ForlagSpringer
Publikationsdato2020
Sider455-467
ISBN (Trykt)9789813298675
ISBN (Elektronisk)978-981-32-9868-2
DOI
StatusUdgivet - 2020
Begivenhed11th International Conference on Sustainability and Energy in Buildings, SEB 2019 - Budapest, Ungarn
Varighed: 4. jul. 20195. jul. 2019

Konference

Konference11th International Conference on Sustainability and Energy in Buildings, SEB 2019
LandUngarn
ByBudapest
Periode04/07/201905/07/2019
NavnSmart Innovation, Systems and Technologies
Vol/bind163
ISSN2190-3018

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