使用振动能量收集的极值估计
Extreme Value Estimates using Vibration Energy Harvesting
摘要：
本文建立了利用能量收集机械振动估计主机结构的极值响应的可能性，并演示了这些估计的校准典型的自然系统的激励谱。为了说明的目的，悬臂式能量采集器被认为是风激励。通过广义帕累托分布（GPD）建立极值估计。经典的著名的Kaimal和达文波特谱风已被认为是本文的比较目的。这项工作还展示了如何使用能量收集水平来绘制回报水平，并表明振动能量收集本身具有用于极值分析和估计的潜力。这项工作对处于维修或年久失修的不同阶段并在其整个生命周期中暴露于自然的已建基础设施的健康监测和评估产生了影响。
英文摘要：
This paper establishes the possibility of utilising energy harvesting from mechanical vibrations to estimate extreme value responses of the host structure and demonstrates the calibration of these estimates for excitation spectra typical to natural systems. For illustrative purposes, a cantilever type energy harvester is considered for wind excitation. The extreme value estimates are established through a Generalised Pareto Distribution (GPD). Classically well-known Kaimal and Davenport spectra for wind have been considered in this paper for comparison purposes. The work also demonstrates how return levels can be mapped using energy harvesting levels and indicates that vibration energy harvesting, in its own right has the potential to be used for extreme value analysis and estimates. The work has impact on health monitoring and assessment of built infrastructure in various stages of repair or disrepair and exposed to nature throughout their lifetime.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
