Abstract
The amplitude, frequency and number of oscillating movements have a significant impact on the possible damage modes of rolling bearings. Changes in amplitude change both the fatigue and wear risk of the raceways. In order to properly calculate the fatigue lifetime of an oscillating bearing, estimate the risk of surface-induced damage modes and design test programs for such bearings, it is necessary to understand the characteristics of the oscillating movements. This paper presents a comprehensive method for the analysis of time series data including position and loads. The method is applied to the simulated time-series data of the IWT 7.5-164 reference wind turbine. Wind turbine blades typically experience wide-band dynamic loads due to stochastic wind conditions. Therefore, it is important to use time series based cycle counting methods.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
