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Lookup NU author(s): Emeritus Professor Julian Morris
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND).
A Multivariate Statistical Data Pre-screening/Data Pre-processing Toolbox (Pre-Screen) has been designed and developed for use by practising process engineers and researchers who wish to pre-process process data prior to multivariate data analysis, process data modelling or building predictive and inferential models. Many commercial data analysis packages do not fully address the initial data cleaning and data conditioning tasks which can consume up to 80% of the modelling time. The software toolkit has been developed specifically with the aim of focusing on the industrial needs for the initial data pre-screening of large industrial data sets. The core feature of Pre-Screen is that it has been specifically developed to make the analysis of large data sets as fast and visual as possible, and accessible for both process and control engineers, analytical scientists and academic R&D without taking away the need for engineering science understanding. The toolbox builds on top of the MATLAB numerical computing environment, with powerful user interface procedures providing user friendly, mouse/menu driven software. The toolbox has been complied to allow use by those whom do not have access to MATLAB.
Author(s): Yi G, Herdsman C, Morris J
Publication type: Article
Publication status: Published
Journal: Chemometrics and Intelligent Laboratory Systems
Year: 2019
Volume: 194
Print publication date: 15/11/2019
Online publication date: 04/10/2019
Acceptance date: 25/09/2019
Date deposited: 09/01/2020
ISSN (print): 0169-7439
ISSN (electronic): 1873-3239
Publisher: Elsevier BV
URL: https://doi.org/10.1016/j.chemolab.2019.103863
DOI: 10.1016/j.chemolab.2019.103863
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