摘要
为了在试验阶段对风力机叶片的疲劳可靠性进行评估,基于某型号风力机叶片全尺寸疲劳试验数据,考虑性能退化过程的随机性和单调性,选用严格单调的逆高斯过程描述叶片的疲劳性能退化轨迹。并根据性能退化理论,建立风力机叶片的逆高斯过程退化模型。利用极大似然估计方法对性能退化模型中的参数进行估计,并根据建立的性能退化模型的可靠度评估方法对叶片的疲劳可靠性进行评估,可实现风力机叶片在无失效寿命数据情况下的疲劳可靠性分析。
In order to evaluate the fatigue reliability of wind turbine blades in the fatigue test,using full-scale fatiguetest data of wind turbine blades and combining performance degradation theory,a stochastic process degradation modelbased on the Inverse Gaussian process is established by considering randomness and monotonicity of the degradationpath. Through the fatigue test data,a maximum likelihood estimation method is presented to estimate the unknownparameters of the presented model. On this basis,according to the reliability assessment method of the degradationmodel,conduct the fatigue reliability assessment of wind turbine blades. The fatigue reliability analysis of wind turbineblades is accomplished without failure life data.
出处
《太阳能学报》
EI
CAS
CSCD
北大核心
2017年第11期3174-3179,共6页
Acta Energiae Solaris Sinica
基金
国家自然科学基金(51665029
51265025)
关键词
风力机叶片
全尺寸疲劳试验
性能退化
逆高斯过程
可靠性
wind turbine blade
full-scale fatigue test
performance degradation
inverse Gaussian process
reliability
