润滑
涡轮机
方位(导航)
可靠性(半导体)
风速
流体轴承
湍流
海洋工程
风力发电
环境科学
工程类
结构工程
机械工程
机械
气象学
计算机科学
物理
电气工程
人工智能
功率(物理)
量子力学
作者
Miaojie Wu,Xu Han,Yourui Tao,Jiaxing Pei
标识
DOI:10.1016/j.triboint.2022.108181
摘要
This paper aims to establish a method to evaluate the lubrication reliability of the wind turbine main bearing in random wind fields. The aeroelastic simulations are conducted and the hub load is captured to generate the lubrication parameter database. Then, the lubrication reliability of the main bearing is evaluated and the effect of the random wind field on lubrication reliability is studied. Finally, an engineering formula to rapidly evaluate the lubrication failure probability for this wind turbine main bearing is obtained. Results show that the average wind speed and turbulence intensity affect the failure probability by S-shaped and linear law respectively. The lubrication of this wind turbine's main bearing almost completely fails when the average wind speed is 7 m/s.
科研通智能强力驱动
Strongly Powered by AbleSci AI