Distributed clustering-based sensor fault diagnosis for HVAC systems
File(s)Clustering_SFD_finalsub_V2emb34.pdf (269.07 KB)
Accepted version
Author(s)
Boem, F
Reci, R
Cenedese, A
Parisini, T
Type
Conference Paper
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.
Date Issued
2017-07
Date Acceptance
2017-02-27
Citation
20th IFAC World Congress (IFAC-PapersOnLine), 2017, 50 (1), pp.4197-4202
Publisher
IFAC / Elsevier
Start Page
4197
End Page
4202
Journal / Book Title
20th IFAC World Congress (IFAC-PapersOnLine)
Volume
50
Issue
1
Copyright Statement
© 2017, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved. This manuscript is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Licence http://creativecommons.org/licenses/by-nc-nd/4.0/
Sponsor
Engineering & Physical Science Research Council (EPSRC)
Grant Number
EP/L014343/1
Source
20th IFAC World Congress
Subjects
Sensor Networks
Distributed Fault Diagnosis
Building Automation
Clustering
Sensor Faults
HVAC Systems
ENERGY
Publication Status
Published
Start Date
2017-07-09
Finish Date
2017-07-14
Coverage Spatial
Toulouse, France
Date Publish Online
2017-10-18