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Paper Abstract and Keywords
Presentation 2019-11-28 13:45
A Note on Moment-Based Approximation for Uncertainty Propagation in Hierarchical Models
Jiahao Zhang (Hiroshima Univ.), Junjun Zheng (Ritsumeikan Univ.), Hiroyuki Okamura, Tadashi Dohi (Hiroshima Univ.) R2019-43
Abstract (in Japanese) (See Japanese page) 
(in English) This paper discusses an approximation method for uncertainty propagation in a hierarchical model. The uncertainty propagation is to estimate how much effect of estimation errors of model parameters on the estimation of system performance indices in mathematical models. The moment-based approximation method is to estimate the uncertainty propagation by using the parametric sensitivities. In this paper, we focus on the uncertainty propagation for a hierarchical model. The hierarchical model consists of fault trees and Markov chains, and are one of the most important modeling frameworks in the reliability evaluation. In the paper, we introduce the moment-based approximation methods for fault trees based on BDD (binary decision diagram) and Markov chains, and present the moment-based approximation for a hierarchical model by combining them.
Keyword (in Japanese) (See Japanese page) 
(in English) uncertainty propagation / hierarchical model / fault tree / Markov chain / binary decision diagram / moment-based approximation / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 315, R2019-43, pp. 1-6, Nov. 2019.
Paper # R2019-43 
Date of Issue 2019-11-21 (R) 
ISSN Print edition: ISSN 0913-5685    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 R2019-43

Conference Information
Committee R  
Conference Date 2019-11-28 - 2019-11-28 
Place (in Japanese) (See Japanese page) 
Place (in English) Central Electric Club 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Reliability of semiconductor and electronic devices, Reliability general 
Paper Information
Registration To R 
Conference Code 2019-11-R 
Language English (Japanese title is available) 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Note on Moment-Based Approximation for Uncertainty Propagation in Hierarchical Models 
Sub Title (in English)  
Keyword(1) uncertainty propagation  
Keyword(2) hierarchical model  
Keyword(3) fault tree  
Keyword(4) Markov chain  
Keyword(5) binary decision diagram  
Keyword(6) moment-based approximation  
Keyword(7)  
Keyword(8)  
1st Author's Name Jiahao Zhang  
1st Author's Affiliation Hiroshima University (Hiroshima Univ.)
2nd Author's Name Junjun Zheng  
2nd Author's Affiliation Ritsumeikan Hiroshima University (Ritsumeikan Univ.)
3rd Author's Name Hiroyuki Okamura  
3rd Author's Affiliation Hiroshima University (Hiroshima Univ.)
4th Author's Name Tadashi Dohi  
4th Author's Affiliation Hiroshima University (Hiroshima Univ.)
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Speaker Author-1 
Date Time 2019-11-28 13:45:00 
Presentation Time 25 minutes 
Registration for R 
Paper # R2019-43 
Volume (vol) vol.119 
Number (no) no.315 
Page pp.1-6 
#Pages 6 
Date of Issue 2019-11-21 (R) 

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