In this section
@inproceedings{Boem:2017:10.1016/j.ifacol.2017.08.811,
author = {Boem, F and Reci, R and Cenedese, A and Parisini, T},
doi = {10.1016/j.ifacol.2017.08.811},
pages = {4197--4202},
publisher = {IFAC / Elsevier},
title = {Distributed clustering-based sensor fault diagnosis for HVAC systems},
url = {http://dx.doi.org/10.1016/j.ifacol.2017.08.811},
year = {2017}
}
TY - CPAPER
AB - 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.
AU - Boem,F
AU - Reci,R
AU - Cenedese,A
AU - Parisini,T
DO - 10.1016/j.ifacol.2017.08.811
EP - 4202
PB - IFAC / Elsevier
PY - 2017///
SP - 4197
TI - Distributed clustering-based sensor fault diagnosis for HVAC systems
UR - http://dx.doi.org/10.1016/j.ifacol.2017.08.811
UR - http://hdl.handle.net/10044/1/45076
ER -