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Improving power output of inertial energy harvesters by employing principal component analysis of input acceleration

机译:通过输入加速度的主成分分析来提高惯性能量采集器的功率输出

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摘要

In this paper we propose the use of principal component analysis to process the measured acceleration data in order to determine the direction of acceleration with the highest variance on given frequency of interest. This method can be used for improving the power generated by inertial energy harvesters. Their power output is highly dependent on the excitation acceleration magnitude and frequency, but the axes of acceleration measurements might not always be perfectly aligned with the directions of movement, and therefore the generated power output might be severely underestimated in simulations, possibly leading to false conclusions about the feasibility of using the inertial energy harvester for the examined application.
机译:在本文中,我们建议使用主成分分析来处理测得的加速度数据,以便确定在给定关注频率下具有最大方差的加速度方向。该方法可用于改善惯性能量采集器产生的功率。它们的功率输出高度依赖于激励加速度的大小和频率,但是加速度测量的轴可能并不总是与运动方向完全对齐,因此在仿真中可能严重低估了生成的功率输出,可能导致错误的结论关于使用惯性能量收集器进行检查的应用的可行性。

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