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 language | English |
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Title of host publication | 2nd IET Renewable Power Generation Conference |
Pages | 1-4 |
Volume | 2013 |
Edition | 623 CP |
DOIs | |
Publication status | Published - 2013 |
Event | 2nd IET Renewable Power Generation Conference - Beijing, China Duration: 9 Sep 2013 → 11 Sep 2013 |
Publication series
Name | IET Conference Publications |
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Conference
Conference | 2nd IET Renewable Power Generation Conference |
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Abbreviated title | RPG 2013 |
Country | China |
City | Beijing |
Period | 9/09/13 → 11/09/13 |
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Keywords
- Condition monitoring
- Health management
- Prognostics
- Sensors
ASJC Scopus subject areas
- Electrical and Electronic Engineering
Cite this
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Prognostic Health Management techniques for intelligent condition monitoring of offshore renewable generation assets. / Herd, D. S.; Flynn, D.
2nd IET Renewable Power Generation Conference . Vol. 2013 623 CP. ed. 2013. p. 1-4 (IET Conference Publications ).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Prognostic Health Management techniques for intelligent condition monitoring of offshore renewable generation assets
AU - Herd, D. S.
AU - Flynn, D.
PY - 2013
Y1 - 2013
N2 - 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.
AB - 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.
KW - Condition monitoring
KW - Health management
KW - Prognostics
KW - Sensors
UR - http://www.scopus.com/inward/record.url?scp=84892968880&partnerID=8YFLogxK
U2 - 10.1049/cp.2013.1732
DO - 10.1049/cp.2013.1732
M3 - Conference contribution
SN - 978-1-84919-758-8
VL - 2013
T3 - IET Conference Publications
SP - 1
EP - 4
BT - 2nd IET Renewable Power Generation Conference
ER -