A Markovian approach for modelling the effects of maintenance on downtime and failure risk of wind turbine components
MetadataShow full item record
© 2016 Elsevier Ltd.For effective and efficient performance of wind turbines, components and systems should perform at a low risk with minimal downtime. To establish the impacts of wind turbine components maintenance on downtime and failure risks, a six state Markov model was developed using the failure rates and downtimes information. The transition and maintenance rates at the lifecycle phases (introduction, maturity, ageing and terminal) together with those at maintenance and failure phases were determined using a calibrated survivability index whilst the transition rate probabilities were used in modelling the performance and failure risks probabilities at different maintenance intervals. The model was tested using failure rates and downtime information of wind turbine components obtained from literature and the results indicates that the model has practical applications for managing wind turbines.
Showing items related by title, author, creator and subject.
Salem, A.; Abu-Siada, Ahmed; Islam, S. (2017)© The Institution of Engineering and Technology 2017. Condition monitoring has been widely used to detect mechanical and electrical faults of wind turbine in order to avoid any potential catastrophic failures, reduce ...
Hossain, M.; Abu-Siada, Ahmed; Muyeen, S. (2018)Condition monitoring and early fault diagnosis for wind turbines have become essential industry practice as they help improve wind farm reliability, overall performance and productivity. If not detected and rectified at ...
Liu, X.; Islam, Syed; Chowdhury, A.; Koval, D. (2008)The paper presents a novel analytical approach of reliability evaluation for wind-diesel hybrid power system with battery bank for power supply in remote areas. The proposed approach is developed on the basis of the ...