南京工业大学学报（自然科学版）2026，Vol.48Issue(2)：201-212,12.DOI:10.3969/j.issn.1671-7627.2026.02.007
风致振动发电功率的探索性数据分析与优化
Exploratory data analysis and optimization of wind-induced vibration power
摘要
Abstract
This study applies exploratory data analysis to systematically investigate how system parameters affect power generation and stability in wind-induced vibration energy harvesting,with a focus on developing a method to optimize power and stability simultaneously.Orthogonal experiments and numerical simulations were conducted.The range method and entropy weighting method were used to identify optimal parameter combinations and quantify the influence of each parameter.The results indicate that,within the parameter ranges considered,the combination that maximizes power is mass ratio μ=400∶1,stiffness K=120 N/m,and damping ratio ζ=0.008∶1,while the combination that maximizes power stability is μ=400∶1,K=120 N/m,and ζ=0.004∶1.Parameter weighting analysis reveals that stiffness has the greatest impact on power,whereas the damping ratio has the greatest impact on stability.A combined power-stability index was introduced to integrate these two key performance dimensions.This approach overcomes the limitation of previous studies,where optimizing power often compromised stability.The findings provide a new framework for the design of wind-induced vibration energy harvesters.关键词
风致振动/功率/稳定性/探索性数据分析法/权重Key words
wind-induced vibration/power/stability/exploratory data analysis/weighting分类
能源科技引用本文复制引用
赵群,赵晋芳,王洁..风致振动发电功率的探索性数据分析与优化[J].南京工业大学学报（自然科学版）,2026,48(2):201-212,12.基金项目
辽宁省科技计划联合计划基金(2023-MSLH-220) （2023-MSLH-220）
辽宁省高等学校基本科研项目(JYTMS20230328) （JYTMS20230328）
