Fault detection and isolation with robust principal component analysis
Yvon Tharrault; Gilles Mourot; José Ragot; Didier Maquin
International Journal of Applied Mathematics and Computer Science (2008)
- Volume: 18, Issue: 4, page 429-442
- ISSN: 1641-876X
Access Full Article
topAbstract
topHow to cite
topReferences
top- Chiang L. H. and Colegrove L. F. (2007). Industrial implementation of on-line multivariate quality control, Chemometrics and Intelligent Laboratory Systems 88(2): 143-153.
- Croux C., Filzmoser P. and Oliveira M. (2007). Algorithms for projection-pursuit robust principal component analysis, Chemometrics and Intelligent Laboratory Systems 87(2): 218-225.
- Croux C. and Ruiz-Gazen A. (2005). High breakdown estimators for principal components: The projectionpursuit approach revisited, Journal of Multivariate Analysis 95(1): 206-226. Zbl1065.62040
- Dunia R. and Qin S. (1998). A subspace approach to multidimensional fault identification and reconstruction, American Institute of Chemical Engineers Journal 44 (8): 1813-1831.
- Harkat M.-F., Mourot G. and Ragot J. (2006). An improved PCA scheme for sensor FDI: Application to an air quality monitoring network, Journal of Process Control 16(6): 625-634.
- Hubert M., Rousseeuw P. and Van den Branden, K. (2005). RobPCA: A new approach to robust principal component analysis, Technometrics 47 (1): 64-79.
- Hubert M., Rousseeuw P. and Verboven S. (2002). A fast method for robust principal components with applications to chemometrics, Chemometrics and Intelligent Laboratory Systems 60(1-2): 101-111.
- Jackson J. and Mudholkar G. S. (1979). Control procedures for residuals associated with principal component analysis, Technometrics 21(3): 341-349. Zbl0439.62039
- Kano M. and Nakagawa Y. (2008). Data-based process monitoring, process control, and quality improvement: Recent developments and applications in steel industry, Computers & Chemical Engineering 32(1-2): 12-24.
- Li G. and Chen Z. (1985). Projection-pursuit approach to robust dispersion matrices and principal components: Primary theory and Monte Carlo, Journal of the American Statistical Association 80(391): 759-766. Zbl0595.62060
- Li W. and Qin S. J. (2001). Consistent dynamic PCA based on errors-in-variables subspace identification, Journal of Process Control 11(6): 661-678.
- Maronna R. A., Martin R. and Yohai V. J. (2006). Robust Statistics: Theory and Methods, Wiley, New York, NY. Zbl1094.62040
- Qin S. J. (2003). Statistical process monitoring: Basics and beyond, Journal of Chemometrics 17(8-9): 480-502.
- Rousseeuw P. (1987). Robust Regression and Outliers Detection, Wiley, New York, NY. Zbl0711.62030
- Rousseeuw P. and Van Driessen K. (1999). Fast algorithm for the minimum covariance determinant estimator, Technometrics 41(3): 212-223.
- Ruiz-Gazen, A. (1996). A very simple robust estimator of a dispersion matrix, Computational Statistics and Data Analysis 21(2): 149-162. Zbl0900.62274
- Yue, H. and Qin, S. (2001). Reconstruction-based fault identification using a combined index, Industrial and Engineering Chemistry Research 40(20): 4403-4414.