Publication

Model-based fault detection and diagnosis of air handling units: A comparison of methodologies

Sterling, Raymond
; 
Provan, Gregory
; 
Febres, Jesús
; 
O'Sullivan, Dominic
; 
Struss, Peter
; 
Keane, Marcus M.
Thumbnail Image
Files
Thumbnail Image
1-s2.0-S1876610214034638-10.1016-j.egypro.2014.12.432.pdf
Adobe PDF, 603.15 KB
Repository DOI
Publication Date
2014-12-26
Keywords
Fault Detection and Diagnosis, Air Handling Units
Type
Article
Downloads
Show all metadata
Citation
Sterling, Raymond, Provan, Gregory, Febres, Jesús, O'Sullivan, Dominic, Struss, Peter, & Keane, Marcus M. (2014). Model-based Fault Detection and Diagnosis of Air Handling Units: A Comparison of Methodologies. Energy Procedia, 62, 686-693. doi:https://doi.org/10.1016/j.egypro.2014.12.432
Abstract
This paper presents a comparison between two model based diagnostics methodologies that can be used to detect and diagnose various faults that occur in Air Handling Units. The process from model development to inference diagnostics is highlighted with emphasis on the requirements for implementing a successful model based diagnosis solution. Comparative results of both methodologies on an air handling unit are presented and thoroughly discussed using as a benchmark the rule-based approach known as air-handling unit performance assessment rule-set.
Funder
Publisher
Elsevier
Publisher DOI
10.1016/j.egypro.2014.12.432
Rights
CC BY-NC-ND 3.0 IE
cbn
Collections
Civil Engineering (Scholarly Articles)