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Evidence Theory based Uncertainty Design Optimization for Planetary Gearbox in Wind Turbine


Article Information

Title: Evidence Theory based Uncertainty Design Optimization for Planetary Gearbox in Wind Turbine

Authors: Shiyuan Yang, Jiapeng Wang , Hengfei Yang

Journal: Journal of advances in applied & computational mathematics

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Year: 2022

Volume: 9

Language: en

DOI: 10.15377/2409-5761.2022.09.7

Keywords: Optimizationevidence theoryInterval variablesRandom variablesPlanetary gearbox

Categories

Abstract

The planetary gearbox is an important part of the wind turbine. There are many random uncertain factors in the process of design, production, installation, and use, and these uncertain factors greatly influence the service life and reliability of the planetary gearbox. Therefore, the influence of uncertain factors needs to be considered in the design process to reduce the risk of failure. In this paper, an uncertainty design optimization method based on evidence theory is proposed, which can consider both interval variables and random variables in the optimization process. Then the megawatt wind turbine planetary gearbox is taken as the research object to analyze its uncertainty sources. Finally, the planetary gearbox is optimized by the proposed method. By comparing the results, the design scheme obtained by the method proposed in this paper is more reliable.


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