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.

Highlights

  • Wind energy is a rapid growing industry in the renewable energy sector with large the potential to contribute significantly to future energy production

  • The reliability of wind turbine gearboxes has been studied in a number of research projects, e.g., the Gearbox Reliability Collaboration (GRC) project at the U.S National Renewable Energy Laboratory (NREL) [4]

  • This paper focuses on probabilistic models and the stochastic modeling of fatigue lives in the wind turbine drivetrain using structural reliability methods, see [9], allowing a rational modeling of all uncertainties

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Summary

Introduction

Wind energy is a rapid growing industry in the renewable energy sector with large the potential to contribute significantly to future energy production. A reliability assessment should be based on probabilistic methods where stochastic modeling of failures is performed. The reliability of wind turbine gearboxes has been studied in a number of research projects, e.g., the Gearbox Reliability Collaboration (GRC) project at the U.S National Renewable Energy Laboratory (NREL) [4] This includes important research areas on fault diagnosis and condition monitoring. Some studies on probabilistic modeling of failures in wind turbine drivetrain components have been carried out, e.g., [7,8] but without a detailed stochastic modeling of the uncertainties related to the parameters in the limit state equations modeling each failure mode. This paper focuses on probabilistic models and the stochastic modeling of fatigue lives in the wind turbine drivetrain using structural reliability methods, see [9], allowing a rational modeling of all uncertainties. The statistical parameters in both models are estimated and applied in reliability assessments

Wind Turbine Drivetrain
Fatigue Strength Modeled by a Log-Normal Distribution
Fatigue Strength Modeled by a Weibull Distribution
Characteristic Values
Reliability Analysis
Results
Conclusions
20. Wind Turbines–Part 1
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