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- W3021297811 abstract "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 data-driven 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." @default.
- W3021297811 created "2020-05-13" @default.
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- W3021297811 date "2019-12-01" @default.
- W3021297811 modified "2023-09-30" @default.
- W3021297811 title "Broadband Vibration Energy Harvesting from Underground Trains for Self-Powered Condition Monitoring" @default.
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- W3021297811 doi "https://doi.org/10.1109/powermems49317.2019.93285904627" @default.
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