Automatic thresholding for sensor data gap detection using statistical approach

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

*Kontaktforfatter for dette arbejde

Publikation: Bidrag til bog/antologi/rapport/konference-proceedingKonferencebidrag i proceedingsForskningpeer review

Resumé

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

Fingeraftryk

Sensors
Office buildings

Citer dette

Najeh, H., Singh, M. P., Ploix, S., Chabir, K., & Abdelkrim, M. N. (2020). Automatic thresholding for sensor data gap detection using statistical approach. I J. Littlewood, R. J. Howlett, A. Capozzoli, & L. C. Jain (red.), Sustainability in Energy and Buildings - Proceedings of SEB 2019 (s. 455-467). Springer. Smart Innovation, Systems and Technologies, Bind. 163 https://doi.org/10.1007/978-981-32-9868-2_39
Najeh, Houda ; Singh, Mahendra Pratap ; Ploix, Stéphane ; Chabir, Karim ; Abdelkrim, Mohamed Naceur. / Automatic thresholding for sensor data gap detection using statistical approach. Sustainability in Energy and Buildings - Proceedings of SEB 2019. red. / John Littlewood ; Robert J. Howlett ; Alfonso Capozzoli ; Lakhmi C. Jain. Springer, 2020. s. 455-467 (Smart Innovation, Systems and Technologies, Bind 163).
@inproceedings{46220953abf24337bff238525870d5a7,
title = "Automatic thresholding for sensor data gap detection using statistical approach",
abstract = "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.",
keywords = "Building system, Data gap, Delay, Sensor fault, Statistical approach",
author = "Houda Najeh and Singh, {Mahendra Pratap} and St{\'e}phane Ploix and Karim Chabir and Abdelkrim, {Mohamed Naceur}",
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Najeh, H, Singh, MP, Ploix, S, Chabir, K & Abdelkrim, MN 2020, Automatic thresholding for sensor data gap detection using statistical approach. i J Littlewood, RJ Howlett, A Capozzoli & LC Jain (red), Sustainability in Energy and Buildings - Proceedings of SEB 2019. Springer, Smart Innovation, Systems and Technologies, bind 163, s. 455-467, 11th International Conference on Sustainability and Energy in Buildings, SEB 2019, Budapest, Ungarn, 04/07/2019. https://doi.org/10.1007/978-981-32-9868-2_39

Automatic thresholding for sensor data gap detection using statistical approach. / Najeh, Houda; Singh, Mahendra Pratap; Ploix, Stéphane; Chabir, Karim; Abdelkrim, Mohamed Naceur.

Sustainability in Energy and Buildings - Proceedings of SEB 2019. red. / John Littlewood; Robert J. Howlett; Alfonso Capozzoli; Lakhmi C. Jain. Springer, 2020. s. 455-467 (Smart Innovation, Systems and Technologies, Bind 163).

Publikation: Bidrag til bog/antologi/rapport/konference-proceedingKonferencebidrag i proceedingsForskningpeer review

TY - GEN

T1 - Automatic thresholding for sensor data gap detection using statistical approach

AU - Najeh, Houda

AU - Singh, Mahendra Pratap

AU - Ploix, Stéphane

AU - Chabir, Karim

AU - Abdelkrim, Mohamed Naceur

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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.

KW - Building system

KW - Data gap

KW - Delay

KW - Sensor fault

KW - Statistical approach

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DO - 10.1007/978-981-32-9868-2_39

M3 - Article in proceedings

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T3 - Smart Innovation, Systems and Technologies

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EP - 467

BT - Sustainability in Energy and Buildings - Proceedings of SEB 2019

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A2 - Howlett, Robert J.

A2 - Capozzoli, Alfonso

A2 - Jain, Lakhmi C.

PB - Springer

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Najeh H, Singh MP, Ploix S, Chabir K, Abdelkrim MN. Automatic thresholding for sensor data gap detection using statistical approach. I Littlewood J, Howlett RJ, Capozzoli A, Jain LC, red., Sustainability in Energy and Buildings - Proceedings of SEB 2019. Springer. 2020. s. 455-467. (Smart Innovation, Systems and Technologies, Bind 163). https://doi.org/10.1007/978-981-32-9868-2_39