Adéline Paris

Université Laval, Chemical Engineering, Graduate Student

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Establishing Multivariate Specification Regions for Raw Materials using SMB-PLS

IFAC-PapersOnLine, 2015

Abstract The new Sequential Multi-block PLS algorithm is applied for establishing multivariate sp... more Abstract The new Sequential Multi-block PLS algorithm is applied for establishing multivariate specification regions jointly on multiple types of raw materials. SMB-PLS distinguishes between process variations associated with raw materials from other orthogonal sources of variations such as operating policies. Combinations of raw material properties not compensated by the control schemes are clearly identified. Multivariate specifications are required for these combinations to avoid negative impact on process performance and product quality. The method was applied to an industrial aluminum smelter. Bad combinations of raw material properties were identified and validated against process knowledge.

Establishing Multivariate Specification Regions for Incoming Raw Materials Using Projection to Latent Structure Models: Comparison Between Direct Mapping and Model Inversion

Frontiers in Analytical Science

Increasing raw material variability is challenging for many industries since it adversely impacts... more Increasing raw material variability is challenging for many industries since it adversely impacts final product quality. Establishing multivariate specification regions for selecting incoming lot of raw materials is a key solution to mitigate this issue. Two data-driven approaches emerge from the literature for defining these specifications in the latent space of Projection to Latent Structure (PLS) models. The first is based on a direct mapping of good quality final product and associated lots of raw materials in the latent space, followed by selection of boundaries that minimize or best balance type I and II errors. The second rather defines specification regions by inverting the PLS model for each point lying on final product acceptance limits. The objective of this paper is to compare both methods to determine their advantages and drawbacks, and to assess their classification performance in presence of different levels of correlation between the quality attributes. The comparati...

Development of a Soft Sensor for Detecting Overpitched Green Anodes

Light Metals 2020

Development of a Soft Sensor for Detecting Overpitched Anodes: Detailed Investigation of an Anode-Sticking Event

Metallurgical and Materials Transactions B

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