Nonlinear system monitoring using multiscaled principal components analysis based on neural network

    Hanen Chaouch Jebril
    Hanen Chaouch Jebril

    IJMIC, Volume 27, Issue 1, 2017, Pages 68-73.

    Cited by: 4|Bibtex|Views0|Links
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    Abstract:

    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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