Title :
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.
fDate :
Aug. 30 2006-Sept. 1 2006
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;
Conference_Titel :
Innovative Computing, Information and Control, 2006. ICICIC '06. First International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7695-2616-0
DOI :
10.1109/ICICIC.2006.164
