风致振动发电功率的探索性数据分析与优化OACHSSCD

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.