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A method for fault detection and diagnostics in ventilation units using virtual sensors

Author
Claudio Giovanni Mattera; Quevedo, J.; Escobet, T.; Hamid Reza Shaker; Muhyiddine Jradi
Type of activity
Journal article
Journal
Sensors
Date of publication
2018-11-14
Volume
18
Number
11
First page
3931-1
Last page
3931-21
DOI
https://doi.org/10.3390/s18113931 Open in new window
Repository
http://hdl.handle.net/2117/126083 Open in new window
URL
https://www.mdpi.com/1424-8220/18/11/3931 Open in new window
Abstract
Buildings represent a significant portion of global energy consumption. Ventilation units are complex components, often customized for the specific building, responsible for a large part of energy consumption. 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...
Citation
Claudio Giovanni Mattera, Quevedo, J., Escobet, T., Hamid Reza Shaker, M. J. A method for fault detection and diagnostics in ventilation units using virtual sensors. "Sensors", 14 Novembre 2018, vol. 18, núm. 11, p. 3931-1-3931-21.
Keywords
HVAC, fault detection and diagnosis, smart buildings, virtual sensors
Group of research
CS2AC-UPC - Supervision, Safety and Automatic Control
SAC - Advanced Control Systems

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