Abstract
Condition-based maintenance is applied in various industries to monitor and control critical assets and to optimize maintenance efforts. Its applicability to the offshore wind energy industry has been considered for almost 20 years and has resulted in the development and implementation of solutions that have contributed to lower cost of maintenance and increased asset availability. However, there is currently no public domain guidance available that provides the information required to (i) prioritize systems for which condition monitoring would generate highest value and to (ii) understand the parameters that need to be monitored by a specific system from failure cause to failure mode. Both items are addressed in this paper, providing a clearly structured, risk-based assessment methodology and corresponding results for state-of-the-art offshore wind turbines. A total of 337 failure modes have been identified and analysed by experts representing approximately 70% of the European offshore wind market to assess potential benefits of condition monitoring systems. Results may be used to target the development of condition monitoring systems focusing on critical systems and to find optimal O&M strategies by understanding failure paths of main offshore wind turbine systems resulting in a lower cost of energy and a more optimal risk-return balance.
| Language | English |
|---|---|
| Pages | 118-133 |
| Number of pages | 16 |
| Journal | Ocean Engineering |
| Volume | 176 |
| Early online date | 23 Feb 2019 |
| DOIs | |
| Publication status | Published - 15 Mar 2019 |
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Keywords
- availability
- condition monitoring
- failure mode effects and criticality analysis
- offshore wind energy
- operations and maintenance
- risk assessment
Cite this
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A systematic failure mode effects and criticality analysis for offshore wind turbine systems towards integrated condition based maintenance strategies. / Scheu, Matti Niclas; Tremps, Lorena; Smolka, Ursula; Kolios, Athanasios; Brennan, Feargal.
In: Ocean Engineering, Vol. 176, 15.03.2019, p. 118-133.Research output: Contribution to journal › Article
TY - JOUR
T1 - A systematic failure mode effects and criticality analysis for offshore wind turbine systems towards integrated condition based maintenance strategies
AU - Scheu, Matti Niclas
AU - Tremps, Lorena
AU - Smolka, Ursula
AU - Kolios, Athanasios
AU - Brennan, Feargal
PY - 2019/3/15
Y1 - 2019/3/15
N2 - Condition-based maintenance is applied in various industries to monitor and control critical assets and to optimize maintenance efforts. Its applicability to the offshore wind energy industry has been considered for almost 20 years and has resulted in the development and implementation of solutions that have contributed to lower cost of maintenance and increased asset availability. However, there is currently no public domain guidance available that provides the information required to (i) prioritize systems for which condition monitoring would generate highest value and to (ii) understand the parameters that need to be monitored by a specific system from failure cause to failure mode. Both items are addressed in this paper, providing a clearly structured, risk-based assessment methodology and corresponding results for state-of-the-art offshore wind turbines. A total of 337 failure modes have been identified and analysed by experts representing approximately 70% of the European offshore wind market to assess potential benefits of condition monitoring systems. Results may be used to target the development of condition monitoring systems focusing on critical systems and to find optimal O&M strategies by understanding failure paths of main offshore wind turbine systems resulting in a lower cost of energy and a more optimal risk-return balance.
AB - Condition-based maintenance is applied in various industries to monitor and control critical assets and to optimize maintenance efforts. Its applicability to the offshore wind energy industry has been considered for almost 20 years and has resulted in the development and implementation of solutions that have contributed to lower cost of maintenance and increased asset availability. However, there is currently no public domain guidance available that provides the information required to (i) prioritize systems for which condition monitoring would generate highest value and to (ii) understand the parameters that need to be monitored by a specific system from failure cause to failure mode. Both items are addressed in this paper, providing a clearly structured, risk-based assessment methodology and corresponding results for state-of-the-art offshore wind turbines. A total of 337 failure modes have been identified and analysed by experts representing approximately 70% of the European offshore wind market to assess potential benefits of condition monitoring systems. Results may be used to target the development of condition monitoring systems focusing on critical systems and to find optimal O&M strategies by understanding failure paths of main offshore wind turbine systems resulting in a lower cost of energy and a more optimal risk-return balance.
KW - availability
KW - condition monitoring
KW - failure mode effects and criticality analysis
KW - offshore wind energy
KW - operations and maintenance
KW - risk assessment
UR - http://www.scopus.com/inward/record.url?scp=85062371751&partnerID=8YFLogxK
UR - https://www.sciencedirect.com/journal/ocean-engineering
U2 - 10.1016/j.oceaneng.2019.02.048
DO - 10.1016/j.oceaneng.2019.02.048
M3 - Article
VL - 176
SP - 118
EP - 133
JO - Ocean Engineering
T2 - Ocean Engineering
JF - Ocean Engineering
SN - 0029-8018
ER -