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New contributions to non linear process monitoring through kernel partial least squares
(2013)
The kernel partial least squares (KPLS) method was originally focused on soft-sensor calibration for predicting
online quality attributes. In this work, an analysis of the KPLS-based modeling technique and its
application ...
Estimation of the particle size distribution of colloids from multiangle dynamic light scattering measurements with particle swarm optimization
(2015)
In this paper particle Swarm Optimization (PSO) algorithms are applied to estimate the particle size distribution (PSD) of a colloidal system from the average PSD diameters, which are measured by multi-angle dynamic light ...
A fault detection and diagnosis technique for multivariate processes using a PLS-decomposition of the measurement space
(2013)
A newstatisticalmonitoring technique based on partial least squares (PLS) is proposed for fault detection and di- 24
agnosis inmultivariate processes that exhibit collinearmeasurements. A typical PLS regression (PLSR)modeling ...