Title :
Prognostic Health Management techniques for intelligent condition monitoring of offshore renewable generation assets
Author :
Herd, D.S. ; Flynn, Damian
Author_Institution :
Institue of Sensors, Signals & Syst., Microsyst. Eng. Centre (MISEC), Heriot-Watt Univ., Edinburgh, UK
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.
Keywords :
condition monitoring; maintenance engineering; offshore installations; renewable energy sources; PHM methods; intelligent condition monitoring; offshore renewable energy sector; offshore renewable generation assets; prognostic health management techniques; Condition Monitoring; Health Management; Prognostics; Sensors;
Conference_Titel :
Renewable Power Generation Conference (RPG 2013), 2nd IET
Conference_Location :
Beijing
Electronic_ISBN :
978-1-84919-758-8
DOI :
10.1049/cp.2013.1732