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Paper Abstract and Keywords
Presentation 2018-03-20 09:00
[Poster Presentation] Anomaly Detection by Reconstructing Features from Subsampled Audio Signals
Yohei Kawaguchi (Hitachi) EA2017-161 SIP2017-170 SP2017-144
Abstract (in Japanese) (See Japanese page) 
(in English) We aim to reduce the cost of sound monitoring for maintain machinery by reducing the sampling rate, i.e., sub-Nyquist sampling. Monitoring based on sub-Nyquist sampling requires two sub-systems: a sub-system on-site for sampling machinery sounds at a low rate and a sub-system off-site for detecting anomalies from the subsampled signal. This paper proposes a feature reconstruction method for enabling anomaly detection from the subsampled signal.
Keyword (in Japanese) (See Japanese page) 
(in English) machine condition monitoring / sub-Nyquist sampling / neural network / long short-term memory (LSTM) / / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 516, SIP2017-170, pp. 323-327, March 2018.
Paper # SIP2017-170 
Date of Issue 2018-03-12 (EA, SIP, SP) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
Copyright
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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 EA2017-161 SIP2017-170 SP2017-144

Conference Information
Committee SIP EA SP MI  
Conference Date 2018-03-19 - 2018-03-20 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English) Speech, Engineering/Electro Acoustics, Signal Processing, and Related Topics [SIP, EA, SP]/ Medical Image Engineering, Analysis, Recognition, etc. [MI] 
Paper Information
Registration To SIP 
Conference Code 2018-03-SIP-EA-SP-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Anomaly Detection by Reconstructing Features from Subsampled Audio Signals 
Sub Title (in English)  
Keyword(1) machine condition monitoring  
Keyword(2) sub-Nyquist sampling  
Keyword(3) neural network  
Keyword(4) long short-term memory (LSTM)  
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1st Author's Name Yohei Kawaguchi  
1st Author's Affiliation Hitachi, Ltd. (Hitachi)
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Speaker
Date Time 2018-03-20 09:00:00 
Presentation Time 90 
Registration for SIP 
Paper # IEICE-EA2017-161,IEICE-SIP2017-170,IEICE-SP2017-144 
Volume (vol) IEICE-117 
Number (no) no.515(EA), no.516(SIP), no.517(SP) 
Page pp.323-327 
#Pages IEICE-5 
Date of Issue IEICE-EA-2018-03-12,IEICE-SIP-2018-03-12,IEICE-SP-2018-03-12 


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