PowerMEMS2019 - Self-Powered Sensin - HF.pdf (1.31 MB)

Broadband vibration energy harvesting from underground trains for self-powered condition monitoring

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conference contribution
posted on 12.05.2020, 08:14 by Hailing Fu, Wenzhe Song, Yong Qin, Eric M Yeatman
A broadband vibration energy harvester tailored for self-powered condition monitoring of underground trains is proposed and developed using mechanical non-linearity and integrated multi-mode vibration. A datadriven approach is adopted for harvester design using operational vibration data on a train bogie. The harvester is designed to be unobtrusive while exhibiting good performance in harvesting energy over a wide bandwidth. In this work, the on-site vibration data are first analysed with the design goals identified. Then, a broadband harvester is proposed, implemented and evaluated. The harvester consists of a pre-stretched hosting beam and a group of micro-beams with repulsive magnetic forces on their free ends. A multiple vibration-mode harvester with non-linear dynamics is obtained in such a design. This harvester exhibits good performance over a broad bandwidth in frequency sweep and pseudo-random tests, illustrating its capability in self-powered condition monitoring applications.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

2019 19th International Conference on Micro and Nanotechnology for Power Generation and Energy Conversion Applications (PowerMEMS)

Source

2019 19th International Conference on Micro and Nanotechnology for Power Generation and Energy Conversion Applications (PowerMEMS)

Publisher

IEEE

Version

AM (Accepted Manuscript)

Rights holder

© IEEE

Publisher statement

Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Publication date

2020-04-20

Copyright date

2020

ISBN

9781728156385

Language

en

Location

Krakow, Poland

Event dates

2nd December 2019 - 6th December 2019

Depositor

Dr Hailing Fu . Deposit date: 8 May 2020

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