Development of industrial process characterisation through data analysis

Josifovic, Aleksandar and Corney, Jonathan; (2017) Development of industrial process characterisation through data analysis. In: 2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016. IEEE, GRC. ISBN 978-1-5090-4241-8 (https://doi.org/10.1109/SSCI.2016.7849990)

[thumbnail of Josifovic-Corney-IEEE-SSCI-2016-Development-of-industrial-process-characterisation]
Preview
Text. Filename: Josifovic_Corney_IEEE_SSCI_2016_Development_of_industrial_process_characterisation.pdf
Accepted Author Manuscript

Download (1MB)| Preview

Abstract

Recently the world has seen an explosion of available data, gathered from sensors, experiments and direct measurements. The engineering world is shifting from model-centred simulations to the exploitation of large datasets for insights into machine behaviour. In the case of optimisation, where usually a simulation model is provided for the exploration of the parameter space, the new data-driven approach translates into the use of data for quantifying problems and delivering an optimal solution.

ORCID iDs

Josifovic, Aleksandar ORCID logoORCID: https://orcid.org/0000-0003-4024-6729 and Corney, Jonathan ORCID logoORCID: https://orcid.org/0000-0003-1210-3827;