Development of industrial process characterisation through data analysis

Aleksandar Josifovic, Jonathan Corney

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

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.
Original languageEnglish
Title of host publication2016 IEEE Symposium Series on Computational Intelligence (SSCI)
Place of PublicationPiscataway, N.J.
PublisherIEEE Xplore
Number of pages7
ISBN (Print)978-1-5090-4241-8
Publication statusPublished - 13 Feb 2017

Keywords / Materials (for Non-textual outputs)

  • oil technology
  • accelerometers
  • data aquisition


Dive into the research topics of 'Development of industrial process characterisation through data analysis'. Together they form a unique fingerprint.

Cite this