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| Presentation | 2021-11-19 10:25 Neural network-based strain measurement using Brillouin gain spectra calculated by non-uniform strain model Kurokawa Takaya, Narieda Shusuke, Naruse Hiroshi (Mie Univ)  OFT2021-52 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | The previously proposed methods of measuring temperature from the Brillouin gain spectrum (BGS) observed in an optical fiber using a neural network (NN) can be directly applied to the measurement of strain. Since the methods did not take temperature variation into account, the measurement error would be large when applied to BGS produced in a section where the strain varies, i.e., a non-uniform strain section. In this paper, we propose a new strain measurement method using the NN. A non-uniform strain model is constructed in which the strain is approximated by polygonal lines, and a mapping from the BGS calculated by the model to the strain is created by the NN. Numerical simulations are performed to investigate the effects of the noise of the BGS, the number of polygonal lines used for approximation, the change in strain, and the size of the observation region of the BGS on the strain measurement error. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Fiber optic sensing / Brillouin gain spectrum / Strain measurement / Polygonal line approximation / Model / Neural Network / / | |
| Reference Info. | IEICE Tech. Rep., vol. 121, no. 252, OFT2021-52, pp. 7-12, Nov. 2021. | |
| Paper # | OFT2021-52 | |
| Date of Issue | 2021-11-11 (OFT) | |
| ISSN | Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | OFT2021-52 |
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| Conference Information | |
| Committee | OFT OCS IEE-CMN ITE-BCT |
| Conference Date | 2021-11-18 - 2021-11-19 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | OFT |
| Conference Code | 2021-11-OFT-OCS-CMN-BCT |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Neural network-based strain measurement using Brillouin gain spectra calculated by non-uniform strain model |
| Sub Title (in English) | |
| Keyword(1) | Fiber optic sensing |
| Keyword(2) | Brillouin gain spectrum |
| Keyword(3) | Strain measurement |
| Keyword(4) | Polygonal line approximation |
| Keyword(5) | Model |
| Keyword(6) | Neural Network |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Kurokawa Takaya |
| 1st Author's Affiliation | Mie University (Mie Univ) |
| 2nd Author's Name | Narieda Shusuke |
| 2nd Author's Affiliation | Mie University (Mie Univ) |
| 3rd Author's Name | Naruse Hiroshi |
| 3rd Author's Affiliation | Mie University (Mie Univ) |
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| Speaker | Author-1 |
| Date Time | 2021-11-19 10:25:00 |
| Presentation Time | 25 minutes |
| Registration for | OFT |
| Paper # | OFT2021-52 |
| Volume (vol) | vol.121 |
| Number (no) | no.252 |
| Page | pp.7-12 |
| #Pages | 6 |
| Date of Issue | 2021-11-11 (OFT) |
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