Next Article in Journal
Multi-Objective Optimization Design for a Hybrid Energy System Using the Genetic Algorithm
Next Article in Special Issue
Toward Isolation of Salient Features in Stable Boundary Layer Wind Fields that Influence Loads on Wind Turbines
Previous Article in Journal
Regression Models Using Fully Discharged Voltage and Internal Resistance for State of Health Estimation of Lithium-Ion Batteries
Previous Article in Special Issue
High Step-Up 3-Phase Rectifier with Fly-Back Cells and Switched Capacitors for Small-Scaled Wind Generation Systems
Article Menu

Export Article

Open AccessArticle
Energies 2015, 8(4), 2908-2923; doi:10.3390/en8042908

Reliability Analysis of Fatigue Failure of Cast Components for Wind Turbines

Department of Civil Engineering, Aalborg University, Aalborg 9200, Denmark
*
Author to whom correspondence should be addressed.
Academic Editor: Frede Blaabjerg
Received: 23 December 2014 / Revised: 20 March 2015 / Accepted: 7 April 2015 / Published: 15 April 2015
(This article belongs to the Collection Wind Turbines)
View Full-Text   |   Download PDF [388 KB, uploaded 15 April 2015]   |  

Abstract

Fatigue failure is one of the main failure modes for wind turbine drivetrain components made of cast iron. The wind turbine drivetrain consists of a variety of heavily loaded components, like the main shaft, the main bearings, the gearbox and the generator. The failure of each component will lead to substantial economic losses such as cost of lost energy production and cost of repairs. During the design lifetime, the drivetrain components are exposed to variable loads from winds and waves and other sources of loads that are uncertain and have to be modeled as stochastic variables. The types of loads are different for offshore and onshore wind turbines. Moreover, uncertainties about the fatigue strength play an important role in modeling and assessment of the reliability of the components. In this paper, a generic stochastic model for fatigue failure of cast iron components based on fatigue test data and a limit state equation for fatigue failure based on the SN-curve approach and Miner’s rule is presented. The statistical analysis of the fatigue data is performed using the Maximum Likelihood Method which also gives an estimate of the statistical uncertainties. Finally, illustrative examples are presented with reliability analyses depending on various stochastic models and partial safety factors. View Full-Text
Keywords: wind turbine; drivetrain; fatigue; stochastic model; reliability analysis wind turbine; drivetrain; fatigue; stochastic model; reliability analysis
Figures

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).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Rafsanjani, H.M.; Sørensen, J.D. Reliability Analysis of Fatigue Failure of Cast Components for Wind Turbines. Energies 2015, 8, 2908-2923.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics

1

Comments

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