2018
DOI: 10.1016/j.renene.2016.12.013
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Multi-dimensional variational mode decomposition for bearing-crack detection in wind turbines with large driving-speed variations

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Cited by 140 publications
(93 citation statements)
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“…(a) Engine parameter design. More than 98% of sea going ships are equipped with diesel engines as the main power sources [18]. The rated power and design voyage speed are key parameters in the proposed estimation method.…”
Section: Parameter Designmentioning
confidence: 99%
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“…(a) Engine parameter design. More than 98% of sea going ships are equipped with diesel engines as the main power sources [18]. The rated power and design voyage speed are key parameters in the proposed estimation method.…”
Section: Parameter Designmentioning
confidence: 99%
“…(b) Load factor. The load factor of ME was estimated based on the Propeller Law by Equation (4) [18].…”
Section: Parameter Designmentioning
confidence: 99%
“…They do not require guidance systems for wind, have low inertia, which allows them to take advantage of wind occurring in strong gusts and are very good in using the wind blowing in different planes. They do not also have the need of special bearings or gears, which are prone to failure in larger scale [23]. Therefore, the set up APS will consist of prototype carousel wind turbine with a 5-bladed rotor with active surface of 1.2 m 2 and a power of 500 W. The wind turbine has a structure consisting of the 5 blades of a characteristic shape attached to the axis of the turbine.…”
Section: Secondary Power Sourcementioning
confidence: 99%
“…Owing to the high nonlinearity and coupling characteristics, the dynamic knowledge cannot be obtained exactly in many applications. 14 In this article, a robust adaptive control scheme is designed based upon TSM technique and radius basis function (RBF) neural network. In this scheme, the TSM combines position tracking error with velocity tracking error.…”
Section: Introductionmentioning
confidence: 99%