Improved feed pump performance through predictive analytics

Bruce Stephen, Blair Brown, Andrew Young, Stephen McArthur, Graeme West, Craig Michie, Andrew Duncan, Henrique Helfer-Hoeltgebaum

Research output: Contribution to conferencePoster

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Abstract

- EDF Energy desire to decrease the time associated with fault diagnostics of MBFPs and extend the maintenance cycle period.
- Weir Engineering Services (equipment manufacturer) wish to gain insight into the health status of the MBFP, supporting maintenance cycle extensions and aiding with logistic planning.
- Collaboration brings together relevant academic and industrial partners to conduct fundamental research and translate technology into industry.
Original languageEnglish
Number of pages1
Publication statusPublished - 9 May 2019
Event2019 Innovation Showcase: Nuclear Asset Management and Industrial Informatics - Toronto, Canada
Duration: 9 May 201910 May 2019
http://www.nuclearinnovationinstitute.com/events/innovation-showcase/

Conference

Conference2019 Innovation Showcase: Nuclear Asset Management and Industrial Informatics
CountryCanada
CityToronto
Period9/05/1910/05/19
Internet address

Keywords

  • fault diagnostic
  • maintenance cycle
  • improved performace
  • pump operation

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  • Cite this

    Stephen, B., Brown, B., Young, A., McArthur, S., West, G., Michie, C., Duncan, A., & Helfer-Hoeltgebaum, H. (2019). Improved feed pump performance through predictive analytics. Poster session presented at 2019 Innovation Showcase: Nuclear Asset Management and Industrial Informatics, Toronto, Canada.