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Paper Abstract and Keywords
Presentation 2011-10-21 13:30
Advance Estimate of Accuracy of Predicting Normal State by using DB model for Fault Detection
Kohei Tanaka, Akemi Fujihara, Naoki Kimura, Yoshifumi Tsuge (Kyushu Univ.) R2011-27
Abstract (in Japanese) (See Japanese page) 
(in English) In a plant with load-fluctuations, it is difficult to detect the abnormality because the normal values are not
constant. It is, however, possible to detect the abnormality of a plant with load-fluctuations if the normal values can be
predicted. In this study, database model (DB model) is used for prediction of normal values of a plant. The accuracy of the prediction using DB model is related to the quality and quantity of the normal historical data accumulated in the database. Therefore, we assume the accuracy of the prediction by a cross-validation. Then, fault detection is performed using the accuracy of the prediction and sequential probability ratio test. The effectiveness of this approach is demonstrated through numerical simulations of the boiler plant.
Keyword (in Japanese) (See Japanese page) 
(in English) fault detection / state prediction / database model / sequential probability ratio test / cross-validation / / /  
Reference Info. IEICE Tech. Rep., vol. 111, no. 253, R2011-27, pp. 1-6, Oct. 2011.
Paper # R2011-27 
Date of Issue 2011-10-14 (R) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
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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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Conference Information
Committee R  
Conference Date 2011-10-21 - 2011-10-21 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
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Paper Information
Registration To R 
Conference Code 2011-10-R 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Advance Estimate of Accuracy of Predicting Normal State by using DB model for Fault Detection 
Sub Title (in English)  
Keyword(1) fault detection  
Keyword(2) state prediction  
Keyword(3) database model  
Keyword(4) sequential probability ratio test  
Keyword(5) cross-validation  
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Keyword(8)  
1st Author's Name Kohei Tanaka  
1st Author's Affiliation Kyushu University (Kyushu Univ.)
2nd Author's Name Akemi Fujihara  
2nd Author's Affiliation Kyushu University (Kyushu Univ.)
3rd Author's Name Naoki Kimura  
3rd Author's Affiliation Kyushu University (Kyushu Univ.)
4th Author's Name Yoshifumi Tsuge  
4th Author's Affiliation Kyushu University (Kyushu Univ.)
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Speaker Author-1 
Date Time 2011-10-21 13:30:00 
Presentation Time 25 minutes 
Registration for R 
Paper # R2011-27 
Volume (vol) vol.111 
Number (no) no.253 
Page pp.1-6 
#Pages
Date of Issue 2011-10-14 (R) 


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