@inproceedings{a0a0e3c215a54a92b0615782a7d75144,
title = "Prognostic Health Management techniques for intelligent condition monitoring of offshore renewable generation assets",
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, Health management, Prognostics, Sensors",
author = "Herd, {D. S.} and D. Flynn",
year = "2013",
doi = "10.1049/cp.2013.1732",
language = "English",
isbn = "978-1-84919-758-8 ",
volume = "2013",
series = "IET Conference Publications ",
pages = "1--4",
booktitle = "2nd IET Renewable Power Generation Conference",
edition = "623 CP",
note = "2nd IET Renewable Power Generation Conference, RPG 2013 ; Conference date: 09-09-2013 Through 11-09-2013",
}
