Fatigue reliability evaluation method for gearbox component and system of wind turbine

被引:0
作者
Xie, Liyang [1 ]
Liu, Jianzhong [2 ]
Wu, Ningxiang [1 ]
Qian, Wenxue [1 ]
机构
[1] College of Mechanical Engineering and Automation, Northeastern University
[2] AVIC Beijing Institute of Aeronautical Materials
来源
Jixie Gongcheng Xuebao/Journal of Mechanical Engineering | 2014年 / 50卷 / 11期
关键词
Complex load history; Cumulative fatigue damage; Life distribution parameter estimation; Reliability; Wind turbine;
D O I
10.3901/JME.2014.11.001
中图分类号
学科分类号
摘要
Load is the most direct factor to cause failure and affect product reliability. The load history that a wind turbine experienced has some special characteristic. Owing to the special service mode, the every wind turbines in a wind farm will experience different load histories. The probabilistic property of wind turbine load history is described in two aspects as the every turbine's service location and service time. Based on such description, fatigue reliability analysis and modeling of wind turbine gearbox and its components are performed by means of the total probability principle. As the essential issues to develop fatigue reliability model and perform reliability evaluation, the way to characterize load history uncertainty, the methods to accumulate the fatigue damage under variable amplitude load history and calculate the equivalent stress amplitude, the way to develop fatigue reliability model based on stress distribution and life distribution condition to stress, as well as the technique to obtain fatigue life distribution parameters through multi-level small sample fatigue life experiment are introduced. © 2014 Journal of Mechanical Engineering.
引用
收藏
页码:1 / 8
页数:7
相关论文
共 21 条
[1]  
Saranyasoontorn K., Manuel L., Efficient models for wind turbine extreme loads using inverse reliability, Journal of Wind Engineering and Industrial Aerodynamics, 92, 10, pp. 789-804, (2004)
[2]  
Moan T., Efren A.U., Reliability-based assessment of deteriorating ship structures operating in multiple sea loading climates, Reliability Engineering and System Safety, 93, 3, pp. 433-446, (2008)
[3]  
Infante V., Fatigue analysis of railway coupling joint, Eng. Fail. Anal., 14, 6, pp. 1175-1184, (2007)
[4]  
Chen J.B., Li J., The extreme value distribution and dynamic reliability analysis of nonlinear structures with uncertain parameters, Structural Safety, 29, pp. 77-93, (2007)
[5]  
Wang H.Y., Safety envelope for load tolerance and its application to fatigue reliability design, Journal of Mechanical Design, 128, 4, pp. 919-927, (2006)
[6]  
Wang Z., Xie L., Li B., Time-dependent reliability model of component under random load, Chinese J. Mech. Eng., 43, 12, pp. 20-25, (2007)
[7]  
Wei H., Ronald G., Askin A., Generalized SSI reliability model considering stochastic loading and strength aging degradation, IEEE Trans. on Reliability, 53, pp. 77-82, (2004)
[8]  
Cotrell J., Musial W., Hughes S., Necessity and requirements of a collaborative effort to develop a large wind turbine blade test facility in north America, (2006)
[9]  
Guo H.T., Watson S., Tavner P., Reliability analysis for wind turbines with incomplete failure data collected from after the date of initial installation, Reliability Engineering and System Safety, 94, 6, pp. 1057-1063, (2009)
[10]  
Xie L.Y., Wang Y.Y., Wang D.C., Reliability allocation principle for large scale system, Maintenance and Reliability, 43, pp. 8-11, (2010)