Prognostic Health Management techniques for intelligent condition monitoring of offshore renewable generation assets

D. S. Herd, D. Flynn

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

The application of Prognostic Health Management (PHM) methods offer the potential of improved reliability in the maintenance of large, remote and complex assets ensuring they continue to achieve optimal performance throughout their designed lifetime. This paper reviews the current state-of-the-art in condition monitoring for the offshore renewable energy sector to highlight the current capabilities and limitations. Based upon this review and an examination of PHM case studies, the design and function of PHM systems for offshore renewable industry assets will be presented.

Original languageEnglish
Title of host publication2nd IET Renewable Power Generation Conference
Pages1-4
Volume2013
Edition623 CP
DOIs
Publication statusPublished - 2013
Event2nd IET Renewable Power Generation Conference - Beijing, China
Duration: 9 Sep 2013 → 11 Sep 2013

Publication series

NameIET Conference Publications

Conference

Conference2nd IET Renewable Power Generation Conference
Abbreviated titleRPG 2013
CountryChina
CityBeijing
Period9/09/13 → 11/09/13

Keywords

  • Condition monitoring
  • Health management
  • Prognostics
  • Sensors

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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    • Cite this

    Herd, D. S., & Flynn, D. (2013). Prognostic Health Management techniques for intelligent condition monitoring of offshore renewable generation assets. In 2nd IET Renewable Power Generation Conference (623 CP ed., Vol. 2013, pp. 1-4). (IET Conference Publications ). https://doi.org/10.1049/cp.2013.1732