Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6954872 | Mechanical Systems and Signal Processing | 2017 | 8 Pages |
Abstract
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Signal Processing
Authors
Jan Smilek, Zdenek Hadas,