Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/18939
Title: Flow meter fault isolation in building central chilling systems using wavelet analysis
Authors: Chen, Y
Hao, X
Zhang, G
Wang, S 
Keywords: Central chilling system
Fault collinearity
Fault isolation
Flow meter
Wavelet transform
Issue Date: 2006
Publisher: Pergamon Press
Source: Energy conversion and management, 2006, v. 47, no. 13-14, p. 1700-1710 How to cite?
Journal: Energy conversion and management 
Abstract: This paper presents an approach to isolate flow meter faults in building central chilling systems. It mathematically explains the fault collinearity among the flow meters in central chilling systems and points out that the sensor validation index (SVI) used in principal component analysis (PCA) is incapable of isolating flow meter faults due to the fault collinearity. The wavelet transform is used to isolate the flow meter faults as a substitute for the SVI of PCA. This approach can identify various variations in measuring signals, such as ramp, step, discontinuity etc., due to the good property of the wavelet in local time-frequency. Some examples are given to demonstrate its ability of fault isolation for the flow meters.
URI: http://hdl.handle.net/10397/18939
ISSN: 0196-8904
EISSN: 1879-2227
DOI: 10.1016/j.enconman.2005.10.023
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