Paper Abstract and Keywords |
Presentation |
2021-10-07 11:35
Research on technology for predicting the causes and locations of system abnormalities Hiroki Nishida, Ryuji Sanuki, Nanako Yoshimura, Hideaki Kimura (Chubu Univ.) EMCJ2021-31 MW2021-43 EST2021-33 Link to ES Tech. Rep. Archives: MW2021-43 EST2021-33 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In recent years, the shortage of engineers has become a problem due to the declining birthrate and aging population. In this paper, we propose a system for identifying failure locations and factors using reverse engineering technology. The proposed system constructs an object to be evaluated on a computer and identifies anomalies and causes of anomalies by linking artificial intelligence (AI) technology and numerical calculation technology. To verify the validity of the proposed system, numerical calculations and evaluation experiments were conducted in a one-dimensional space, and the results are reported. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Anomaly location / system coordination / finite difference time domain method / machine learning / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 121, no. 188, EST2021-33, pp. 21-24, Oct. 2021. |
Paper # |
EST2021-33 |
Date of Issue |
2021-09-30 (EMCJ, MW, EST) |
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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EMCJ2021-31 MW2021-43 EST2021-33 Link to ES Tech. Rep. Archives: MW2021-43 EST2021-33 |
Conference Information |
Committee |
EST MW EMCJ IEE-EMC |
Conference Date |
2021-10-07 - 2021-10-08 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Online |
Topics (in Japanese) |
(See Japanese page) |
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Paper Information |
Registration To |
EST |
Conference Code |
2021-10-EST-MW-EMCJ-EMC |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Research on technology for predicting the causes and locations of system abnormalities |
Sub Title (in English) |
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Keyword(1) |
Anomaly location |
Keyword(2) |
system coordination |
Keyword(3) |
finite difference time domain method |
Keyword(4) |
machine learning |
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1st Author's Name |
Hiroki Nishida |
1st Author's Affiliation |
Chubu University (Chubu Univ.) |
2nd Author's Name |
Ryuji Sanuki |
2nd Author's Affiliation |
Chubu University (Chubu Univ.) |
3rd Author's Name |
Nanako Yoshimura |
3rd Author's Affiliation |
Chubu University (Chubu Univ.) |
4th Author's Name |
Hideaki Kimura |
4th Author's Affiliation |
Chubu University (Chubu Univ.) |
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Speaker |
Author-1 |
Date Time |
2021-10-07 11:35:00 |
Presentation Time |
25 minutes |
Registration for |
EST |
Paper # |
EMCJ2021-31, MW2021-43, EST2021-33 |
Volume (vol) |
vol.121 |
Number (no) |
no.186(EMCJ), no.187(MW), no.188(EST) |
Page |
pp.21-24 |
#Pages |
4 |
Date of Issue |
2021-09-30 (EMCJ, MW, EST) |
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