RT Journal Article
T1 Optimizing Maintenance Policies for a Yaw System Using Reliability-Centered Maintenance and Data-Driven Condition Monitoring
A1 Catelani, Marcantonio
A1 Ciani, Lorenzo
A1 Galar, Diego
A1 Patrizi, Gabriele
AB System downtime and unplanned outages massively affect plant productivity; therefore, the reliability, availability, maintainability, and safety (RAMS) disciplines, together with fault diagnosis and condition monitoring (CM), are mandatory in energy applications. This article focuses on the optimization of a maintenance plan for the yaw system used in an onshore wind turbine (WT). A complete reliability-centered maintenance (RCM) procedure is applied to the system to identify which maintenance action is the optimal solution in terms of cost, safety, and availability. The scope of the research is to propose a new customized decision-making diagram inside the RCM assessment to reduce the subjectivity of the procedure proposed in the standard and save the cost by optimizing maintenance decisions, making the projects more cost-efficient and cost-effective. This article concludes by proposing a new diagnostic method based on a data-driven CM system to efficiently monitor the health and detect damages in the WT by means of measurements of critical parameters of the tested system. This article highlights how a reliability analysis, during the early phase of the design, is a very helpful and powerful means to guide the maintenance decision and the data-driven CM.
SN 0018-9456
YR 2020
FD 2020-09
LK https://hdl.handle.net/11556/3464
UL https://hdl.handle.net/11556/3464
LA eng
NO Catelani , M , Ciani , L , Galar , D & Patrizi , G 2020 , ' Optimizing Maintenance Policies for a Yaw System Using Reliability-Centered Maintenance and Data-Driven Condition Monitoring ' , IEEE Transactions on Instrumentation and Measurement , vol. 69 , no. 9 , 8963936 , pp. 6241-6249 . https://doi.org/10.1109/TIM.2020.2968160
NO Publisher Copyright: © 1963-2012 IEEE.
DS TECNALIA Publications
RD 28 jul 2024