A practical reliability design method considering the compound weight and load-sharing

被引:4
|
作者
Li, Yao [1 ]
Coolen, Frank P. A. [2 ]
Zhu, Caichao [1 ]
机构
[1] Chongqing Univ, State Key Lab Mech Transmiss, Chongqing 400044, Peoples R China
[2] Univ Durham, Dept Math Sci, Durham DH1 3LE, England
基金
国家重点研发计划;
关键词
Offshore wind turbine; Reliability design; Fuzzy reliability assessment; Maintainability prediction; Load sharing; Compound weight; ALLOCATION METHOD; REDUNDANCY; SYSTEM;
D O I
10.1016/j.ijar.2020.09.001
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Reliability design is an important work in the early design stage of offshore wind turbines. Due to the incomplete considerations and poor feasibility of the drawbacks for existing methods, a set of the practical reliability design method is proposed in this paper. The time characteristics and many influential factors of units are considered in the design process. The influential factors of the system's units are scored by several experts with extensive engineering experience. Based on this, the reliability allocation and the maintainability prediction of the repairable system are performed using different methods. To realistically evaluate the reliability level of each unit obtained by three different methods, a fuzzy reliability evaluation method is developed to rank the reliability level of each unit with considerations of the mean time between failure (MTBF), mean time to repair (MTTR), failure frequency and availability using the compound weight and fuzzy membership function. Following this, redundant design is used to eliminate weaknesses to keep the system reliability at a high level. Using the reliability data obtained above, a time -dependent reliability model of the system considering load sharing is built to explore the influences of reliability allocation on the system reliability in the 20-year service life. The effectiveness and feasibility of the proposed approaches are demonstrated with a 5MW offshore wind turbine. (c) 2020 Elsevier Inc. All rights reserved.
引用
收藏
页码:17 / 32
页数:16
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