Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/8673
Title: | A fault detection and diagnosis strategy of VAV air-conditioning systems for improved energy and control performances | Authors: | Qin, J Wang, S |
Keywords: | Commissioning Fault detection and diagnosis Principal component analysis Variable air volume system VAV terminal |
Issue Date: | 2005 | Publisher: | Elsevier | Source: | Energy and buildings, 2005, v. 37, no. 10, p. 1035-1048 How to cite? | Journal: | Energy and buildings | Abstract: | This paper presents the results of a site survey study on the faults in variable air volume (VAV) terminals and an automatic fault detection and diagnosis (FDD) strategy for VAV air-conditioning systems using a hybrid approach. The site survey study was conducted in a commercial building. 20.9% VAV terminals were ineffective and 10 main faults were identified in the VAV air-conditioning systems. The FDD strategy adopts a hybrid approach utilizing expert rules, performance indexes and statistical process control models to address these faults. Supported by a pattern recognition method, expert rules and performance indexes based on system physical characteristics are adopted to detect 9 of the 10 faults. Two pattern recognition indexes are introduced for fault isolation to overcome the difficulty in differentiating damper sticking and hysteresis from improper controller tuning. A principal component analysis (PCA)-based method is developed to detect VAV terminal flow sensor biases and to reconstruct the faulty sensors. The FDD strategy is tested and validated on typical VAV air-conditioning systems involving multiple faults both in simulation and in situ tests. | URI: | http://hdl.handle.net/10397/8673 | ISSN: | 0378-7788 | EISSN: | 1872-6178 | DOI: | 10.1016/j.enbuild.2004.12.011 |
Appears in Collections: | Journal/Magazine Article |
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