Nonlinear Gaussian Belief Network based fault diagnosis for industrial processes
Author:
Publisher
Elsevier BV
Subject
Industrial and Manufacturing Engineering,Computer Science Applications,Modeling and Simulation,Control and Systems Engineering
Reference41 articles.
1. A review of process fault detection and diagnosis: part I: quantitative model-based methods;Venkatasubramanian;Comput. Chem. Eng.,2003
2. Multiscale PCA with application to multivariate statistical process monitoring;Bakshi;AIChE J.,1998
3. Multivariate statistical process control charts: an overview;Bersimis;Qual. Reliab. Eng. Int.,2007
4. Statistical process monitoring: basics and beyond;Joe Qin;J. Chemom.,2003
5. Comparison of multivariate statistical process monitoring methods with applications to the Eastman challenge problem;Kano;Comput. Chem. Eng.,2002
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