Adaptive Soft Sensors for Non-Gaussian Chemical Process Plant Data Based on Locally Weighted Partial Least Square

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Adaptive Soft Sensors for Non-Gaussian Chemical Process Plant Data Based on Locally Weighted Partial Least Square

This thesis proposes an improved algorithm attributed to its abilities to deal with non-Gaussian distributed and nonlinear data and missing measurements. It was formulated through a modification on locally weighted partial least square by incorporating an ensemble method, Kernel function and indepen...

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Bibliographic Details
Main Author:	Yeo, Wan Sieng
Format:	Thesis
Published:	Curtin University 2019
Online Access:	http://hdl.handle.net/20.500.11937/77028

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