Nonlinear system monitoring using multiscaled principal components analysis based on neural network
IJMIC, Volume 27, Issue 1, 2017, Pages 68-73.
In this paper, we propose a new method based on multiscaled principal component analysis for nonlinear systems analysis. We introduce nonlinear PCA based on neural networks and discrete wavelet transform. The data matrix describing a nonlinear process is decomposed into five wavelet resolution levels. The neural PCA is applied to each coe...More
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