Publication detail

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

SMILEK, J. HADAŠ, Z.

Original Title

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

English Title

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

Type

journal article in Web of Science

Language

en

Original 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.

English 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.

Keywords

Energy harvesting; Principal component analysis; Signal processing; Excitation acceleration

Released

15.02.2017

Publisher

Elsevier

ISBN

0888-3270

Periodical

MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Year of study

85

Number

1

State

GB

Pages from

801

Pages to

808

Pages count

9

URL

Documents

BibTex


@article{BUT128010,
  author="Jan {Smilek} and Zdeněk {Hadaš}",
  title="Improving power output of inertial energy harvesters by employing principal component analysis of input acceleration",
  annote="– 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.",
  address="Elsevier",
  chapter="128010",
  doi="10.1016/j.ymssp.2016.09.020",
  howpublished="print",
  institution="Elsevier",
  number="1",
  volume="85",
  year="2017",
  month="february",
  pages="801--808",
  publisher="Elsevier",
  type="journal article in Web of Science"
}