Development of industrial process characterisation through data analysis

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

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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.

Original languageEnglish
Title of host publication2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016
Place of PublicationPiscataway, N.J.
PublisherIEEE
Number of pages7
ISBN (Print)978-1-5090-4241-8
DOIs
Publication statusPublished - 13 Feb 2017
Event2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016 - Royal Olympic Hotel, Athens, Greece
Duration: 6 Dec 20169 Dec 2016
http://ssci2016.cs.surrey.ac.uk/

Conference

Conference2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016
Abbreviated titleSSCI 2016
CountryGreece
CityAthens
Period6/12/169/12/16
Internet address

Keywords

  • oil technology
  • accelerometers
  • data aquisition

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