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First International Conference on Innovative Computing, Information and Control - Volume I (ICICIC'06)
The Application of Independent Component Analysis in Process Monitoring
Beijing, China
August 30-September 01
ISBN: 0-7695-2616-0
ASCII Text
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Li Hongguang, Guo Hui, "The Application of Independent Component Analysis in Process Monitoring," Innovative Computing ,Information and Control, International Conference on, vol. 1, pp. 97-100, First International Conference on Innovative Computing, Information and Control - Volume I (ICICIC'06), 2006.
 
 
BibTex
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@article{ 10.1109/ICICIC.2006.164,
author = {Li Hongguang and Guo Hui},
title = {The Application of Independent Component Analysis in Process Monitoring},
journal ={Innovative Computing ,Information and Control, International Conference on},
volume = {1},
year = {2006},
isbn = {0-7695-2616-0},
pages = {97-100},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICICIC.2006.164},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Innovative Computing ,Information and Control, International Conference on
TI - The Application of Independent Component Analysis in Process Monitoring
SN - 0-7695-2616-0
SP97
EP100
A1 - Li Hongguang,
A1 - Guo Hui,
PY - 2006
KW - null
VL - 1
JA - Innovative Computing ,Information and Control, International Conference on
ER -
 
Li Hongguang, Beijing University of Chemical Technology, China
Guo Hui, Beijing University of Chemical Technology, China
A method of using Independent Component Analysis (ICA) to monitor process is proposed in this paper. The concept, model and algorithm of ICA are introduced first, and then ICA applications in the multivariable statistical process monitoring are discussed. A simulation example is used to demonstrate this approach. The results show that the independent component analysis can be considered as a new effective tool providing for statistical process monitoring and fault diagnosis.
Citation:
Li Hongguang, Guo Hui, "The Application of Independent Component Analysis in Process Monitoring," icicic, vol. 1, pp.97-100, First International Conference on Innovative Computing, Information and Control - Volume I (ICICIC'06), 2006
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