| Paper Abstract and Keywords |
| Presentation |
2025-12-11 09:00
Early detection of combustion instability using symbolic dynamics and deep learning. Gakuto Iizuka, Yusuke Nabae, Hiroshi Gotoda (TUS) NLP2025-52 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
We attempt to detect a precursor of thermoacoustic instability using convolutional neural networks (CNN) and convolutional recurrent neural networks (CRNN). These networks take as input either acoustic pressure fluctuations in a swirl stabilized combustor or symbolic recurrence plots (SRPs) images constructed from those pressure fluctuations. We clarify the effectiveness of combining symbolic dynamics with deep learning for an early detection of thermoacoustic instability. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Thermoacoustic instability / Deep learning / Symbolic dynamics / Swirl stabilized combustor / / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 125, no. 283, NLP2025-52, pp. 1-5, Dec. 2025. |
| Paper # |
NLP2025-52 |
| Date of Issue |
2025-12-04 (NLP) |
| 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 |
NLP2025-52 |
| Conference Information |
| Committee |
NLP |
| Conference Date |
2025-12-11 - 2025-12-12 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Kochi Castle Museum of History |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
Nonlinear problem, etc |
| Paper Information |
| Registration To |
NLP |
| Conference Code |
2025-12-NLP |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Early detection of combustion instability using symbolic dynamics and deep learning. |
| Sub Title (in English) |
|
| Keyword(1) |
Thermoacoustic instability |
| Keyword(2) |
Deep learning |
| Keyword(3) |
Symbolic dynamics |
| Keyword(4) |
Swirl stabilized combustor |
| Keyword(5) |
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| Keyword(6) |
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| 1st Author's Name |
Gakuto Iizuka |
| 1st Author's Affiliation |
Tokyo University of Science (TUS) |
| 2nd Author's Name |
Yusuke Nabae |
| 2nd Author's Affiliation |
Tokyo University of Science (TUS) |
| 3rd Author's Name |
Hiroshi Gotoda |
| 3rd Author's Affiliation |
Tokyo University of Science (TUS) |
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| Speaker |
Author-1 |
| Date Time |
2025-12-11 09:00:00 |
| Presentation Time |
20 minutes |
| Registration for |
NLP |
| Paper # |
NLP2025-52 |
| Volume (vol) |
vol.125 |
| Number (no) |
no.283 |
| Page |
pp.1-5 |
| #Pages |
5 |
| Date of Issue |
2025-12-04 (NLP) |