Next Article in Journal
A Method for Energy and Resource Assessment of Waves in Finite Water Depths
Next Article in Special Issue
Automatic Tracking of the Modal Parameters of an Offshore Wind Turbine Drivetrain System
Previous Article in Journal / Special Issue
Power Loss Analysis for Wind Power Grid Integration Based on Weibull Distribution
Article Menu
Issue 4 (April) cover image

Export Article

Open AccessArticle
Energies 2017, 10(4), 466;

Fatigue Reliability Analysis of Wind Turbine Cast Components

Department of Civil Engineering, Aalborg University, 9220 Aalborg Ø, Denmark
Department of Wind Energy, Technical University Denmark, 4000 Roskilde, Denmark
Vestas Technology & Service Solutions, 8200 Aarhus, Denmark
Author to whom correspondence should be addressed.
Academic Editor: Simon J. Watson
Received: 14 December 2016 / Revised: 23 February 2017 / Accepted: 28 March 2017 / Published: 2 April 2017
(This article belongs to the Collection Wind Turbines)
Full-Text   |   PDF [1714 KB, uploaded 2 April 2017]   |  


The fatigue life of wind turbine cast components, such as the main shaft in a drivetrain, is generally determined by defects from the casting process. These defects may reduce the fatigue life and they are generally distributed randomly in components. The foundries, cutting facilities and test facilities can affect the verification of properties by testing. Hence, it is important to have a tool to identify which foundry, cutting and/or test facility produces components which, based on the relevant uncertainties, have the largest expected fatigue life or, alternatively, have the largest reliability to be used for decision-making if additional cost considerations are added. In this paper, a statistical approach is presented based on statistical hypothesis testing and analysis of covariance (ANCOVA) which can be applied to compare different groups (manufacturers, suppliers, test facilities, etc.) and to quantify the relevant uncertainties using available fatigue tests. Illustrative results are presented as obtained by statistical analysis of a large set of fatigue data for casted test components typically used for wind turbines. Furthermore, the SN curves (fatigue life curves based on applied stress) for fatigue assessment are estimated based on the statistical analyses and by introduction of physical, model and statistical uncertainties used for the illustration of reliability assessment. View Full-Text
Keywords: reliability; casting; fatigue; analysis of covariance (ANCOVA); wind turbines reliability; casting; fatigue; analysis of covariance (ANCOVA); wind turbines

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Mirzaei Rafsanjani, H.; Sørensen, J.D.; Fæster, S.; Sturlason, A. Fatigue Reliability Analysis of Wind Turbine Cast Components. Energies 2017, 10, 466.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Energies EISSN 1996-1073 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top