Publica
Hier finden Sie wissenschaftliche Publikationen aus den FraunhoferInstituten. Fatigue lifetime calculation of wind turbine blade bearings considering bladedependent load distribution
 Wind energy science : WES 5 (2020), Nr.4, S.17431754 ISSN: 23667443 ISSN: 23667451 
 Bundesministerium fur Wirtschaft und Energie BMWi (Deutschland) 0325918A; HAPT Highly Accelerated Pitch Bearing Test 

 Englisch 
 Zeitschriftenaufsatz, Elektronische Publikation 
 Fraunhofer IWES () 
 wind turbine; blade bearing; fatigue lifetime 
Abstract
Rotating bearings are some of the most commonly employed machine elements. As such, they are wellunderstood and thoroughly researched pieces of technology. Fatigue lifetime calculation is internationally standardized through ISO 281, which is based on the assumption that loads act on a bearing under constant rotation. Blade bearings of wind turbines do not conform to this assumption since their movement typically consists of small, repetitive oscillations. Moreover, their load distribution differs considerably over the bearing circumference, a load case for which ISO 281 refers to ISO 16281 and which requires detailed simulations of the bearing to be sufficiently precise. Aside from ISO 16281, the NREL DG03, a guideline for pitch and yaw bearing lifetime, lists two methods for incorporating bearing loads into the fatigue life calculation. This paper compares all three methods. Two of the methods can not be used directly for the doublerow fourpoint bearing used in this paper and are thus slightly adjusted. Load distributions in the bearing are simulated and curvefit by means of a novel approach using regression analysis. The method from NREL DG03, which requires the least computational effort, is shown to result in a much higher lifetime than the other two, which are based on internal load distributions of the bearing. The two latter methods are shown to produce very similar results. An adjustment is proposed for increasing the accuracy of that lifetime calculation method which requires the least computational effort in order to resemble the other two more closely.