Multi-variable process data compression and defect isolation using wavelet PCA and genetic algorithm

Author:

Chaouch Hanen,Najeh Tawfik,Nabli Lotfi

Publisher

Springer Science and Business Media LLC

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Mechanical Engineering,Software,Control and Systems Engineering

Reference36 articles.

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3. Ramahaleomiarantsoa (2012) &al, “Performances of the PCA method in electrical machines diagnosis using Matlab”, INTECH (chapter 4), pp.69–87

4. Xueqin L et al (2011) Application of nonlinear PCA for fault detection in polymer extrusion processes. Sch Electron, Electr Eng Comput Sci vol20(issue 6):1141–1148

5. Yun Xu, Royston, Goodacre (2012), “Multiblock principal component analysis: an efficient tool for analyzing metabolomics data which contain two influential factors”, METABOLOMICS (Springer), Volume 8, Supplement 1, pp 37–51

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