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Paper Abstract and Keywords
Presentation 2019-05-29 15:30
[Poster Presentation] Vibration time series analysis using persistent homology
Koki Terauchi (Osaka City Univ.), Kazunori Hayashi (Osaka City Univ./RIKEN), Jing Di, Yoji Okada (SEI) RCC2019-10 MICT2019-10
Abstract (in Japanese) (See Japanese page) 
(in English) In this research, in order to diagnose a failure of consumable parts of a rotating machine by using vibration time series data obtained from acceleration sensors, we propose an analysis method using persistent homology based on topological data analysis and demonstrate the validity by applying the method to actual vibration data.
Keyword (in Japanese) (See Japanese page) 
(in English) Time series analysis / Failure diagnosis / Vibration data / Topological data analysis / Chaotic Time Series Analysis / / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 58, RCC2019-10, pp. 47-52, May 2019.
Paper # RCC2019-10 
Date of Issue 2019-05-22 (RCC, MICT) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
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 RCC2019-10 MICT2019-10

Conference Information
Committee RCC MICT  
Conference Date 2019-05-29 - 2019-05-30 
Place (in Japanese) (See Japanese page) 
Place (in English) TOKYO BIG SIGHT 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To RCC 
Conference Code 2019-05-RCC-MICT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Vibration time series analysis using persistent homology 
Sub Title (in English)  
Keyword(1) Time series analysis  
Keyword(2) Failure diagnosis  
Keyword(3) Vibration data  
Keyword(4) Topological data analysis  
Keyword(5) Chaotic Time Series Analysis  
1st Author's Name Koki Terauchi  
1st Author's Affiliation Osaka City University (Osaka City Univ.)
2nd Author's Name Kazunori Hayashi  
2nd Author's Affiliation Osaka City University/RIKEN (Osaka City Univ./RIKEN)
3rd Author's Name Jing Di  
3rd Author's Affiliation Sumitomo Electric Industries, Ltd (SEI)
4th Author's Name Yoji Okada  
4th Author's Affiliation Sumitomo Electric Industries, Ltd (SEI)
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Date Time 2019-05-29 15:30:00 
Presentation Time 120 
Registration for RCC 
Paper # IEICE-RCC2019-10,IEICE-MICT2019-10 
Volume (vol) IEICE-119 
Number (no) no.58(RCC), no.59(MICT) 
Page pp.47-52 
#Pages IEICE-6 
Date of Issue IEICE-RCC-2019-05-22,IEICE-MICT-2019-05-22 

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