测控技术2025，Vol.44Issue(6)：15-24,45,11.DOI:10.19708/j.ckjs.2025.02.209
基于参数优化的VMD算法在判断压气机喘振首发级中的应用
Application of Parameter Optimized VMD Algorithm in Determining the First Surge Stage of Compressor
摘要
Abstract
A variational mode decomposition(VMD)algorithm based on whale optimization algorithm(WOA)is proposed to address the problem of traditional methods being unable to effectively determine the first surge stage of compressor with instability inception signal.Firstly,whale optimization theory with envelope entropy is used as the fitness function,and the modal number K and penalty factor α of the VMD are intelligently opti-mized.Then the dynamic pressure signal of the compressor is decomposed into several modal components through the optimized algorithm,and the modal components that eliminate modal waves and high-frequency noise are selected to replace the original dynamic pressure signal.Finally,the first surge stage of compressor based on the engineering definition and the dynamic pressure rise and fall relationship of each boost stage of the compressor before surging is determined.Through specific compressor experiments,it is proved that this method has good applicability for modal waveform instability precursors,with high signal-to-noise separation and anti-phase shift capabilities.This method enables engineers to have a more solid mathematical foundation when determining the first surge stage of compressor.关键词
喘振首发级/鲸鱼优化算法/变分模态分解/模态波/失稳先兆Key words
first surge stage/WOA/VMD/modal wave/instability inception引用本文复制引用
郭贵喜,张龙,马宁,齐鹏..基于参数优化的VMD算法在判断压气机喘振首发级中的应用[J].测控技术,2025,44(6):15-24,45,11.基金项目
"十四五"装备预研共用技术项目 （）
