Boem, F;
Reci, R;
Cenedese, A;
Parisini, T;
(2017)
Distributed Clustering-based Sensor Fault Diagnosis for HVAC Systems.
IFAC-PapersOnLine
, 50
(1)
pp. 4197-4202.
10.1016/j.ifacol.2017.08.811.
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Abstract
The paper presents a distributed Sensor Fault Diagnosis architecture for Industrial Wireless Sensor Networks monitoring HVAC systems, by exploiting a recently proposed distributed clustering method. The approach allows the detection and isolation of multiple sensor faults and considers the possible presence of modeling uncertainties and disturbances. Detectability and isolability conditions are provided. Simulation results show the effectiveness of the proposed method for an HVAC system.
| Type: | Article |
|---|---|
| Title: | Distributed Clustering-based Sensor Fault Diagnosis for HVAC Systems |
| Location: | Toulouse, FRANCE |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1016/j.ifacol.2017.08.811 |
| Publisher version: | https://doi.org/10.1016/j.ifacol.2017.08.811 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Sensor Networks, Distributed Fault Diagnosis, Building Automation, Clustering, Sensor Faults, HVAC Systems, Networks, Algorithms, Energy |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10051692 |
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