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Robust on-line fault detection diagnosis for HVAC components based on nonlinear state estimation techniques.

Authors :
Bonvini, Marco
Sohn, Michael D.
Granderson, Jessica
Wetter, Michael
Piette, Mary Ann
Source :
Applied Energy. Jul2014, Vol. 124, p156-166. 11p.
Publication Year :
2014

Abstract

Highlights: [•] The addition of a new back-smoothing technique enables real-time FDD. [•] Algorithm can detect the occurrence of multiple and simultaneous faults. [•] Noisy and erroneous sensor data do not lead to erroneous FDD solutions. [•] Proposed solution updates fault probabilities in less than 5s. [•] Three common chiller plant faults detected despite significant noise in sensor data. [Copyright &y& Elsevier]

Details

Language :
English
ISSN :
03062619
Volume :
124
Database :
Academic Search Index
Journal :
Applied Energy
Publication Type :
Academic Journal
Accession number :
95723805
Full Text :
https://doi.org/10.1016/j.apenergy.2014.03.009