Distributed Clustering-based Sensor Fault Diagnosis for HVAC Systems * *This work has been partially supported by the research project “Stability and Control of Power Networks with Energy Storage (STABLE-NET),” funded by the RCUK Energy Programme (contract no: EP/L014343/1) and by the Italian MIUR Project SEAL -Smart&amp;safe Energy-aware Assisted Living (SCN-00398)

Francesca Boem,Thomas Parisini,Angelo Cenedese,Redona Reci

doi:10.1016/j.ifacol.2017.08.811

Distributed Clustering-based Sensor Fault Diagnosis for HVAC Systems * *This work has been partially supported by the research project “Stability and Control of Power Networks with Energy Storage (STABLE-NET),” funded by the RCUK Energy Programme (contract no: EP/L014343/1) and by the Italian MIUR Project SEAL -Smart&safe Energy-aware Assisted Living (SCN-00398)

Francesca Boem, Thomas Parisini + Show 2 more

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https://doi.org/10.1016/j.ifacol.2017.08.811

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Journal: IFAC PapersOnLine	Publication Date: Jul 1, 2017
Citations: 3	License type: cc-by-nc-nd

Affiliation: Imperial College London, University of Trieste, University of Padua

#Isolation Of Multiple Sensor Faults #Control Of Power Networks + Show 8 more

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Abstract

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.

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