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Paper Abstract and Keywords
Presentation 2024-03-01 10:40
A study on loom operation analysis using acoustic signals for abnormality detection
Shinji Sako (NITech) EA2023-107 SIP2023-154 SP2023-89
Abstract (in Japanese) (See Japanese page) 
(in English) In the textile industry, DXing of high-quality inspections at factories is essential from the perspective of improving product quality and productivity, but there are problems unique to the textile industry. One is the problem of product inspections (fabrics inspections). Although extremely important from the viewpoint of quality control, it is necessary to accommodate a wide variety of patterns and structures, and visual inspections by skilled workers are common and costly. By automating this process, the cost of inspection can be reduced, and the quality of fabrics can be improved by increasing inspection accuracy and uniformity.
Secondly, it is difficult to detect and predict loom (waving machine) abnormalities. Production control is important to maintain quality, but because each part of the loom operates in complex ways according to various patterns and structures, mechanical prediction is difficult, and periodic inspections and inspections must be performed by skilled technicians. More accurate detection and prediction of abnormalities is expected to further improve productivity. In this presentation, as a basic study for understanding the status of mechanical operation of a loom from its operating sound.
Keyword (in Japanese) (See Japanese page) 
(in English) waving machine / fabric inspection / abnormal detection / / / / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 403, SP2023-89, pp. 274-276, Feb. 2024.
Paper # SP2023-89 
Date of Issue 2024-02-22 (EA, SIP, SP) 
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 EA2023-107 SIP2023-154 SP2023-89

Conference Information
Committee SIP SP EA IPSJ-SLP  
Conference Date 2024-02-29 - 2024-03-01 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To SP 
Conference Code 2024-02-SIP-SP-EA-SLP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A study on loom operation analysis using acoustic signals for abnormality detection 
Sub Title (in English)  
Keyword(1) waving machine  
Keyword(2) fabric inspection  
Keyword(3) abnormal detection  
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1st Author's Name Shinji Sako  
1st Author's Affiliation Nagoya Institute of Technology (NITech)
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Speaker Author-1 
Date Time 2024-03-01 10:40:00 
Presentation Time 60 minutes 
Registration for SP 
Paper # EA2023-107, SIP2023-154, SP2023-89 
Volume (vol) vol.123 
Number (no) no.401(EA), no.402(SIP), no.403(SP) 
Page pp.274-276 
#Pages 3 
Date of Issue 2024-02-22 (EA, SIP, SP) 

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