Using k-nearest neighbor algorithm to identify mechanical vibrational modes of a cantilever with spectrally multiplexed fiber Bragg gratings
Using k-nearest neighbor algorithm to identify mechanical vibrational modes of a cantilever with spectrally multiplexed fiber Bragg gratings
We demonstrated for the first time the identification of mechanical modes of a cantilever with attached fiber Bragg gratings using k-Nearest Neighbor, a machine learning algorithm. We analyzed the frequency range of 40-300 Hz and an acceleration of 1.1 ± 0.1 g.
Jantzen, Senta Lisa
e532e171-8ea3-4576-8843-17d96a3995d4
Yu, Jiarui
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Smith, Peter G.R.
8979668a-8b7a-4838-9a74-1a7cfc6665f6
Holmes, Christopher
16306bb8-8a46-4fd7-bb19-a146758e5263
14 July 2020
Jantzen, Senta Lisa
e532e171-8ea3-4576-8843-17d96a3995d4
Yu, Jiarui
024ed044-5693-452b-81e8-277837f371bf
Smith, Peter G.R.
8979668a-8b7a-4838-9a74-1a7cfc6665f6
Holmes, Christopher
16306bb8-8a46-4fd7-bb19-a146758e5263
Jantzen, Senta Lisa, Yu, Jiarui, Smith, Peter G.R. and Holmes, Christopher
(2020)
Using k-nearest neighbor algorithm to identify mechanical vibrational modes of a cantilever with spectrally multiplexed fiber Bragg gratings.
In Advanced Photonics Congress.
OSA.
2 pp
.
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Conference or Workshop Item
(Paper)
Abstract
We demonstrated for the first time the identification of mechanical modes of a cantilever with attached fiber Bragg gratings using k-Nearest Neighbor, a machine learning algorithm. We analyzed the frequency range of 40-300 Hz and an acceleration of 1.1 ± 0.1 g.
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Jantzen_AdvancedPhotonicsCongress
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Published date: 14 July 2020
Venue - Dates:
Advanced Photonics Congress, , Online, 2020-07-13 - 2020-07-16
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Local EPrints ID: 442654
URI: http://eprints.soton.ac.uk/id/eprint/442654
PURE UUID: 87ba07c4-4e8c-4e12-ac2f-d2f4c3a5b1e9
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Date deposited: 22 Jul 2020 16:31
Last modified: 17 Mar 2024 03:08
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Contributors
Author:
Senta Lisa Jantzen
Author:
Jiarui Yu
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