A Robust Infinite Gaussian Mixture Model and Its Application in Fault Detection of Nonlinear Multimode Processes
Author:
Affiliation:
1. State Key Laboratory of Industrial Control Technology, Institute of Cyber-systems and Control, Zhejiang University
2. School of Information and Control Engineering, Liaoning Shihua University
Publisher
Society of Chemical Engineers, Japan
Subject
General Chemical Engineering,General Chemistry
Link
https://www.jstage.jst.go.jp/article/jcej/53/12/53_17we373/_pdf
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3. Bishop, C. M.; Pattern Recognition and Machine Learning, Springer, New York, U.S.A. (2004)
4. Chatzis, S. P., D. Korkinof and Y. Demiris; “A Nonparametric Bayesian Approach toward Robot Learning by Demonstration,” Robot. Auton. Syst., 60, 789–802 (2012)
5. Chen, Q., U. Kruger, M. Meronk and A. Y. T. Leung; “Synthesis of t2 and q Statistics for Process Monitoring,” Control Eng. Pract., 12, 745–755 (2004)
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