Details
| Original language | English |
|---|---|
| Pages (from-to) | 40-47 |
| Number of pages | 8 |
| Journal | Renewable Energy Focus |
| Volume | 25 |
| Early online date | 12 Apr 2018 |
| Publication status | Published - Jun 2018 |
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.
ASJC Scopus subject areas
Sustainable Development Goals
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In: Renewable Energy Focus, Vol. 25, 06.2018, p. 40-47.
Research output: Contribution to journal › Article › Transfer › peer review
}
TY - JOUR
T1 - Cycle counting of roller bearing oscillations
T2 - case study of wind turbine individual pitching system
AU - Stammler, Matthias
AU - Reuter, Andreas
AU - Poll, Gerhard
N1 - Funding Information: The present work was carried out with the project “HAPT – Highly Accelerated Pitch Bearing Tests”. The project funding by the German Federal Ministry for Economic Affairs and Energy is kindly acknowledged.
PY - 2018/6
Y1 - 2018/6
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85045393859&partnerID=8YFLogxK
U2 - 10.1016/j.ref.2018.02.004
DO - 10.1016/j.ref.2018.02.004
M3 - Article
AN - SCOPUS:85045393859
VL - 25
SP - 40
EP - 47
JO - Renewable Energy Focus
JF - Renewable Energy Focus
SN - 1755-0084
ER -