DocumentCode :
2176914
Title :
A predictive maintenance policy based on the blade of offshore wind turbine
Author :
Wenjin Zhu ; Fouladirad, M. ; Berenguer, C.
Author_Institution :
Lab. of Modelling & Syst. Safety, Univ. of Technol. of Troyes, Troyes, France
fYear :
2013
fDate :
28-31 Jan. 2013
Firstpage :
1
Lastpage :
6
Abstract :
Based on the modeling of the deterioration of a blade due to the intrinsic randomness, random shock, random load and dynamic environment, this paper proposes a predictive maintenance policy considering the leading time caused by preparing the maintenance action. The evaluation of the proposed maintenance policy is realized by Monte-Carlo simulation and the minimal average long-run maintenance cost per unit time is obtained. The numerical simulations prove that the proposed policy can reduce the downtime caused by failure or leading time.
Keywords :
Monte Carlo methods; blades; costing; maintenance engineering; numerical analysis; wind turbines; Monte Carlo simulation; blade deterioration; dynamic environment; intrinsic randomness; maintenance action; minimal average long-run maintenance cost; numerical simulation; offshore wind turbine blade; predictive maintenance policy; random load; random shock; Blades; Electric shock; Inspection; Load modeling; Maintenance engineering; Monitoring; Wind turbines; Paris-Erdogan law; Predictive maintenance; monitoring; rotor blade; wind turbine;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Reliability and Maintainability Symposium (RAMS), 2013 Proceedings - Annual
Conference_Location :
Orlando, FL
ISSN :
0149-144X
Print_ISBN :
978-1-4673-4709-9
Type :
conf
DOI :
10.1109/RAMS.2013.6517637
Filename :
6517637
Link To Document :
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