A kernel-based bayesian classifier for fault detection and classification

Proceedings of the World Congress on Intelligent Control and Automation (WCICA)

Volumn , Issue , 2008, Pages 124-128

  Yu, Chunmei ^a   Pan, Quan ^a   Cheng, Yongmei ^a   Zhang, Hongcai ^a  

^a NORTHWESTERN POLYTECHNICAL UNIVERSITY   (China)

Author keywords

Fault detection; Kernel fisher discriminant analysis; Kernel function construction; Kernel based bayesian decision function

Indexed keywords

BAYESIAN NETWORKS; CLASSIFICATION (OF INFORMATION); DISCRIMINANT ANALYSIS; FACE RECOGNITION; FISHER INFORMATION MATRIX; INDUSTRIAL ENGINEERING; INTELLIGENT CONTROL; LEARNING ALGORITHMS; LEARNING SYSTEMS; TRELLIS CODES;

BAYESIAN CLASSIFIERS; BAYESIAN DECISION FUNCTION; BHATTACHARYYA DISTANCE; CONTROL AND AUTOMATION; CRITERION FUNCTIONS; FAULT DETECTION AND CLASSIFICATION; GAUSSIAN; KERNEL FISHER DISCRIMINANT ANALYSIS; KERNEL FUNCTION CONSTRUCTION; KERNEL-BASED BAYESIAN DECISION FUNCTION; SHANNON SAMPLING; TENNESSEE EASTMAN PROCESS;

FAULT DETECTION;

EID: 52149083010     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WCICA.2008.4592910     Document Type: Conference Paper

References (11)

1. Klaus-Robert Müller, Sebastian Mika, Gunnar Rätsch, Koji Tsuda and Bernhard Schölkopf, "An introduction to kernel-based learning algorithms," IEEE Trantractions on Neural Networks, vol. 12, no. 2, pp. 181-201, 2001.
2. Yong Xu, Jing-Yu Yang and Jian-Feng Lu, "An efficient kernel-based nonlinear regression method for two-class classification," Proceedings of the Fourth International Conference on Machine Learning and Cybernetics, Guangzhou, pp. 4442-4445, August 2005.
3. Sebastian Mika, Gunnar Rätsch, Jason Weston, Bernhard Schölkopf and Klaus-Robert Müller. "Fisher discriminant analysis with kernels," Neural Networks for Signal processing, pp. 41-48,1999.
4. G. Baudat and F. Anouar, "Generalized discriminant Fisher analysis using a kernel approach," Neural Computation, vol. 12, no. 10, pp. 2385-2404, 2000.
5. Edgar E. Osuna, Robert Freund and Federico Girosi, "Support vector machines: Training and Application," available: http://dspace.mit.edu/ handle/1721.1/7290.
6. th International Conference on Automatic Face and Gesture Recognition (FGR'06), 2006.
7. M. Murat Dundar and David Landgrebe, "A kernel-based supervised cassifier for the analysis of hyperspectral data," IEEE, pp:320-326, 2004.
8. Bernhard Schölkopf and AlexanderJ Smola, "Learning with kernels-support vector machines, regularization, optimization and beyond," MIT Press, 2002.
9. John Shawe-Taylor, Nello Cristianini, "Kernel methods for pattern analysis," Cristianini Cambridge University Press, 2004.
10. J J Downs and E F Vogel, "A plant-wide industrial-process control problem," Computers and Chemical Engineering, vol. 17, no. 3, pp. 245-255, 1993.
11. P R Lyman, C Georgakis. Plant-Wide Control of the Tennessee Eastman Problem[J]. Computers and Chemical Engineering, 19(3), (1995) 321-331