Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/29418
Title: Automatic sensor evaluation in BMS commissioning of building refrigeration systems
Authors: Wang, S 
Wang, JB
Keywords: Building management system
Commissioning
Refrigeration system
Sensor fault
Sensor validation
Issue Date: 2002
Publisher: Elsevier
Source: Automation in construction, 2002, v. 11, no. 1, p. 59-73 How to cite?
Journal: Automation in construction 
Abstract: A strategy and software is developed to automatically diagnose and evaluate the Building Management Systems (BMS) sensors of building refrigeration systems during commissioning or periodical check (recommissioning). The strategy is based on the first law of thermodynamics (i.e., heat and mass balance of water networks). The strategy evaluates soft sensor faults (biases) by examining and minimizing the weighted sum of the squares of the concerned mass and/or steady state energy balance residuals represented by the corrected measurements over a period, on the basis of the measurements downloaded from BMS. A Genetic Algorithm is employed to determine the global minimal solution to the multimodal objective function, which can be difficult to achieve by traditional gradient-directed search methods. The sensor bias estimates, the confidence intervals of bias estimates and the comparisons of the balance residuals before and after the correction are generated by the software to provide a convenient and reliable means for the engineers to check and diagnose the measurement devices of BMS. The strategy, the software configuration and examples of application are presented in this paper.
URI: http://hdl.handle.net/10397/29418
ISSN: 0926-5805
EISSN: 1872-7891
DOI: 10.1016/S0926-5805(01)00050-4
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

14
Last Week
0
Last month
0
Citations as of Oct 19, 2017

WEB OF SCIENCETM
Citations

19
Last Week
0
Last month
1
Citations as of Oct 17, 2017

Page view(s)

63
Last Week
0
Last month
Checked on Oct 15, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.