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  4. Decentralized fault detection in building services by means of tensor decomposed qualitative models
 
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2019
Conference Paper
Titel

Decentralized fault detection in building services by means of tensor decomposed qualitative models

Abstract
Fault detection and diagnosis (FDD) methods are most of the time deployed in buildings as supervisory solutions on a management level or as cloud computing solution. The deployment of Internet of Things devices will enable to embed FDD methods as edge-computing solutions directly on subsystems like heat pumps or air handling units. This paper shows how qualitative models can be used for fault detection in building services and how tensor decomposition methods can enable their integration on decentralized subsystems as edge-computing solution.
Author(s)
Müller-Eping, T.
Réhault, N.
Rist, T.
Hauptwerk
CISBAT 2019. Climate resilient cities - energy efficiency & renewables in the digital era
Konferenz
International Conference "Climate Resilient Cities - Energy Efficiency & Renewables in the Digital Era" (CISBAT) 2019
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DOI
10.1088/1742-6596/1343/1/012127
Externer Link
Externer Link
Language
English
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Fraunhofer-Institut für Solare Energiesysteme ISE
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