Paper Abstract and Keywords |
Presentation |
2023-03-26 10:35
Acquisition of physical kinetics of machines by reservoir computing Sena Kojima, Koki Minagawa, Taisei Saito, Tetsuya Asai (Hokkaido Univ.) CCS2022-67 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
This report focuses on an anomaly detection application of a machine’s dynamical system using reservoir computing. We propose an algorithm to detect anomalies by comparing the normal output of a machine with the predicted output of a reservoir that has been trained on the machine’s dynamical system. For this purpose, it is necessary to accurately acquire the complex dynamical system of the machine. Since the dynamic system of a machine is very complex, a motor was used as a learning target as one physical system. Three physical systems were constructed by adding loads to the motor step by step. By pre-processing real data and exploring the parameters of the reservoir, we were able to acquire that physical system through reservoir computing. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Reservoir Computing / Artificial Intelligence / Time series prediction / Anomaly Detection / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 122, no. 453, CCS2022-67, pp. 25-30, March 2023. |
Paper # |
CCS2022-67 |
Date of Issue |
2023-03-19 (CCS) |
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) |
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CCS2022-67 |
Conference Information |
Committee |
CCS |
Conference Date |
2023-03-26 - 2023-03-27 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
RUSUTSU RESORT |
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(See Japanese page) |
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Paper Information |
Registration To |
CCS |
Conference Code |
2023-03-CCS |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Acquisition of physical kinetics of machines by reservoir computing |
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Reservoir Computing |
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Artificial Intelligence |
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Time series prediction |
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Anomaly Detection |
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1st Author's Name |
Sena Kojima |
1st Author's Affiliation |
Hokkaido University (Hokkaido Univ.) |
2nd Author's Name |
Koki Minagawa |
2nd Author's Affiliation |
Hokkaido University (Hokkaido Univ.) |
3rd Author's Name |
Taisei Saito |
3rd Author's Affiliation |
Hokkaido University (Hokkaido Univ.) |
4th Author's Name |
Tetsuya Asai |
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Hokkaido University (Hokkaido Univ.) |
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Speaker |
Author-1 |
Date Time |
2023-03-26 10:35:00 |
Presentation Time |
20 minutes |
Registration for |
CCS |
Paper # |
CCS2022-67 |
Volume (vol) |
vol.122 |
Number (no) |
no.453 |
Page |
pp.25-30 |
#Pages |
6 |
Date of Issue |
2023-03-19 (CCS) |
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