The Application of Independent Component Analysis in Process Monitoring

Author

Hongguang, Li ; Hui, Guo

Author_Institution

Inf. Sch. of Inf. Sci. & Technol., Beijing Univ. of Chem. Technol.

Volume

1

fYear

2006

fDate

Aug. 30 2006-Sept. 1 2006

Firstpage

97

Lastpage

100

Abstract

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

Keywords

fault diagnosis; independent component analysis; multivariable systems; process monitoring; statistical process control; ICA application; fault diagnosis; independent component analysis; multivariable statistical process monitoring; Blind source separation; Chemical technology; Fault diagnosis; Gaussian distribution; Independent component analysis; Information science; Monitoring; Productivity; Random variables; Statistical analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Innovative Computing, Information and Control, 2006. ICICIC '06. First International Conference on

Conference_Location

Beijing

Print_ISBN

0-7695-2616-0

Type

conf

DOI

10.1109/ICICIC.2006.164

Filename

1691750