..., continuous wavelet transform (CWT) analysis is used. Thereafter, the most important information from the CWT coefficients is selected using the two proposed novel methods CWT-based on energy (BE)-MSVM and CWT-principal component analysis (PCA)-MSVM, which are BE as well as PCA, respectively...

... interaction through principal component analysis, limiting the number of sensors, and the accuracy in estimating the temperature distribution. Monitored nodes of mould (side view ( a ) and top view ( b )) The second FEA was carried out for a sensitivity analysis. Sensitivity is a measure...

... component analysis based on the multidimensional principal curve is employed. The effectiveness of the proposed technique is verified through both illustrative and practical examples. 16 03 2009 21 04 2010 11 08 2010 11 08 2010 optimisation principal component analysis rational...

... of the smaller number of uncorrelated parameters. The correlation among uncertain parameters is detected by the principal component analysis in one technique and optimization with a bilinear matrix inequality in the other. Numerical examples illustrate the usefulness of the proposed techniques. 09 11 2008...

... current to act as a virtual sensor, which is subsequently used for PPP control. A NN is trained offline on principal-component analysis data to predict the cylinder peak pressure position under dynamically varying engine load, speed, and spark advance (SA) settings. Experimental results demonstrate...