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Paper Abstract and Keywords
Presentation 2021-06-12 14:25
A Study on Dual-task VAE with Weibull distribution for RUL estimation and application to Aero-Propulsion System data
Ryosuke Sato, Mitsuhiro Kimura (Hosei Univ.) R2021-12
Abstract (in Japanese) (See Japanese page) 
(in English) Remaining Useful Life (RUL) is one of the most important assessment measures in reliability engineering.
Although several widely-used public datasets have information on failure times, they do not have information on RUL.
As a simple way, we can consider a linear degradation concerning the difference between the future failure time and the current time.
However, since it is not always the case that such a linear degradation occurs,
then we need to generate complex teacher labels incorporating the detection of changing points in the degradation states.

In one of the previous studies, one proposed a failure prediction model that takes into account the degradation states and achieved some improvement in prediction accuracy.
However, this model sometimes does not perform well, for example, it cannot be adapted to specific tagging methods.
Therefore we propose Dual-task VAE incorporating Weibull distribution as a prediction model which does not depend on the tagging methods.
Keyword (in Japanese) (See Japanese page) 
(in English) C-MAPSS / dual-task / Long Short-Term Memory (LSTM) / Remaining Usefule Life (RUL) / Variational AutoEncoder(VAE) / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 64, R2021-12, pp. 7-12, June 2021.
Paper # R2021-12 
Date of Issue 2021-06-05 (R) 
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 R2021-12

Conference Information
Committee R  
Conference Date 2021-06-12 - 2021-06-12 
Place (in Japanese) (See Japanese page) 
Place (in English) Online (Zoom) 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Reliability General 
Paper Information
Registration To R 
Conference Code 2021-06-R 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study on Dual-task VAE with Weibull distribution for RUL estimation and application to Aero-Propulsion System data 
Sub Title (in English)  
Keyword(1) C-MAPSS  
Keyword(2) dual-task  
Keyword(3) Long Short-Term Memory (LSTM)  
Keyword(4) Remaining Usefule Life (RUL)  
Keyword(5) Variational AutoEncoder(VAE)  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Ryosuke Sato  
1st Author's Affiliation Hosei University (Hosei Univ.)
2nd Author's Name Mitsuhiro Kimura  
2nd Author's Affiliation Hosei University (Hosei Univ.)
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Speaker Author-1 
Date Time 2021-06-12 14:25:00 
Presentation Time 25 minutes 
Registration for R 
Paper # R2021-12 
Volume (vol) vol.121 
Number (no) no.64 
Page pp.7-12 
#Pages 6 
Date of Issue 2021-06-05 (R) 

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