2019
DOI: 10.1108/jedt-12-2018-0222
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An assessment of effects of non-stationary operational conditions on wind turbine under different wind scenario

Abstract: Purpose The non-stationary operational wind loads vary in time and site and has remarkable effect on wind turbine drive train. The purpose of this paper is to determine the effects of wind class 3 and 7 on the life of wind turbine drive train. The two-wind class 3 and 7 are described by average wind speed and weight factor and effects of two variables on wind energy generation and wind turbine drive train studied. Design/methodology/approach The load distribution method is used to calculate stress range cycl… Show more

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Cited by 4 publications
(3 citation statements)
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References 22 publications
(26 reference statements)
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“…The main working parameters influencing the chassis stability include the back pressure and the site slope. Hence, the back pressure and slope are defined as the experimental factors for evaluating chassis stability (Wu, 2014;Huang, 2015). A two-factor and five-level horizontal quadratic rotation orthogonal test is conducted.…”
Section: Test Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…The main working parameters influencing the chassis stability include the back pressure and the site slope. Hence, the back pressure and slope are defined as the experimental factors for evaluating chassis stability (Wu, 2014;Huang, 2015). A two-factor and five-level horizontal quadratic rotation orthogonal test is conducted.…”
Section: Test Methodsmentioning
confidence: 99%
“…To improve the maneuverability and control ability of four-wheel chassis in small paddy fields, a front axle swing steering four-wheel chassis with better steering is designed, which provides certain theoretical and practical significances for agricultural mechanization (Hulio and Jiang, 2020). The front axle swing steering four-wheel chassis can realize overall steering by controlling the walking wheel at one side of the walking wheel.…”
Section: Introductionmentioning
confidence: 99%
“…According to the National Renewable Energy Laboratories (NREL) and Meteorological Department of Pakistan that Pakistan has 9.06% of the land that is ideal for wind power plants (Shami et al , 2016). Table 1 is showing the wind site classification standards set by NREL in which sites have been divided into seven classes (Hulio and Jiang, 2019a). Figure 2(a) is showing the wind resource assessment at 80 m and Figure 2(b) is showing the surface roughness factor of Pakistan.…”
Section: Introductionmentioning
confidence: 99%