Random reliability optimization of wind power gear under variable wind velocity
Abstract：In order to analyze and optimize the strength reliability of wind power gear under the condition of variable wind velocity,an optimization model for gear random reliability was presented.The observed wind velocity data was used to deduce the fluctuant characteristic of tooth load,and the correlated random quantities were defined to fit the stress-strength interference model.The response relationship between gear parameters and strength reliability was established by Monte Carlo method.In addition,the constraint conditions were determined,and the genetic algorithm was selected as solution strategy.This optimization model can not only quantitatively analyze the effect of variable wind velocity on the gear strength reliability,but also optimize the gear strength reliability under the condition of random parameters.The example was adopted to analyze the strength reliability of wind power gear in five wind velocity modes.The results show that the variation of wind velocity will reduce the strength reliability of transmission gear.After optimization,the strength reliability gets significantly improved,and is no less than 98.89% in five modes.
Keywords：variable wind velocityrandom reliabilitywind power generationgear contact stressgear contact strengthstress-strength interference modelMonte Carol methodgenetic algorithmreliability optimization
Publication Date：2011-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)