Fault detection based on Kernel Principal Component Analysis
β Scribed by Viet Ha Nguyen; Jean-Claude Golinval
- Book ID
- 108124302
- Publisher
- Elsevier Science
- Year
- 2010
- Tongue
- English
- Weight
- 695 KB
- Volume
- 32
- Category
- Article
- ISSN
- 0141-0296
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π SIMILAR VOLUMES
In this paper, we propose kernel-based smooth estimates of the functional principal components when data are continuous trajectories of stochastic processes. Strong consistency and the asymptotic distribution are derived under mild conditions.
## Abstract The aim of this paper is to propose a novel realβtime process monitoring and fault diagnosis method based on the principal component analysis (PCA) and kernel Fisher discriminant analysis (KFDA). There is a need to develop this method in order to overcome the inherent limitations of the