Optimal maintenance strategy of wind turbine subassemblies to improve the overall availability

被引:9
作者
El-Naggar, M. [1 ,2 ]
Sayed, A. [3 ]
Elshahed, M. [4 ,5 ]
EL-Shimy, M. [6 ]
机构
[1] Prince Sattam Bin Abdulaziz Univ, Coll Engn, Dept Elect Engn, Al Kharj 16273, Saudi Arabia
[2] Helwan Univ, Fac Engn, Dept Elect Power & Machines Engn, Helwan 11795, Egypt
[3] Higher Inst Engn, Elect Power & Machines Dept, El Shorouk City 11837, Egypt
[4] Buraydah Private Coll, Coll Engn & Informat Technol, Elect Engn Dept, Buraydah 51418, Saudi Arabia
[5] Cairo Univ, Fac Engn, Elect Power Dept, Giza 12613, Egypt
[6] Ain Shams Univ, Fac Engn, Elect Power & Machines Dept, Cairo 11566, Egypt
关键词
Availability optimization; Maintenance management; Maintainability; Reliability; Wind turbines; OPPORTUNISTIC MAINTENANCE; RELIABILITY EVALUATION; DELAY-TIME; SYSTEMS; OPERATION; ENERGY; OPTIMIZATION; MODEL; COST; FRAMEWORK;
D O I
10.1016/j.asej.2023.102177
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Improving wind turbine performance, operation, and efficiency requires evolving Operation and Maintenance (O&M) methods. Different models are required for O&M choices. These models offer a broad variety of scenarios and variables to reduce energy costs and enhance wind farm profitability. In this regard, this paper proposes a detailed approach for maintenance decisions to pick an optimum mainte-nance strategy (MST) for different subassemblies of wind turbines based on failure analysis. This approach is predicated mostly on a vast field database of failures and repairs of several subassemblies of wind turbines. The maintenance model is comprised of many stages, including the data preparation stage, the availability optimization stage, and the optimum MST selection step. Consequently, this model aids in determining the appropriate MST for all subassemblies of wind turbines to achieve the necessary degree of availability.CO 2023 THE AUTHORS. Published by Elsevier BV on behalf of Faculty of Engineering, Ain Shams Uni-versity. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/ by-nc-nd/4.0/).
引用
收藏
页数:14
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