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Paper Abstract and Keywords
Presentation 2015-12-04 15:55
The Technics of predicting error of Semiconductor manufacturing equipment by Operation sounds
Daiki Nakata, Noriyuki Kushiro (Kyutech) AI2015-23
Abstract (in Japanese) (See Japanese page) 
(in English) In Semiconductor manufacturing factory, Semiconductor manufacturing equipment is always operated in the long term to improve efficiency of manufacturing and stops manufacturing line. Operating of equipment in the long term causes wearing error for the parts of equipment correctly. To avoid this risk, in the factory, they maintain the equipment. However, it is difficult to predict when the equipment will break down and the timing of maintenance is not optimal. In this paper, we use the operating sounds as the factor of diagnosis because operation sounds can catch the sign of error and can be acquired simply as data. We develop the systems to predict error without stopping the equipment by test data and the data of the fields.
Keyword (in Japanese) (See Japanese page) 
(in English) Error / Predict / Diagnosis / Semiconductor Manufacturing Equipment / Vacuum Pump / Operation Sounds / /  
Reference Info. IEICE Tech. Rep., vol. 115, no. 337, AI2015-23, pp. 61-66, Dec. 2015.
Paper # AI2015-23 
Date of Issue 2015-11-27 (AI) 
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 AI2015-23

Conference Information
Committee AI  
Conference Date 2015-12-04 - 2015-12-04 
Place (in Japanese) (See Japanese page) 
Place (in English) Kyutech-Salite 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To AI 
Conference Code 2015-12-AI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) The Technics of predicting error of Semiconductor manufacturing equipment by Operation sounds 
Sub Title (in English)  
Keyword(1) Error  
Keyword(2) Predict  
Keyword(3) Diagnosis  
Keyword(4) Semiconductor Manufacturing Equipment  
Keyword(5) Vacuum Pump  
Keyword(6) Operation Sounds  
Keyword(7)  
Keyword(8)  
1st Author's Name Daiki Nakata  
1st Author's Affiliation Kyushu Institute of technlogy (Kyutech)
2nd Author's Name Noriyuki Kushiro  
2nd Author's Affiliation Kyushu Institute of technlogy (Kyutech)
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Speaker Author-1 
Date Time 2015-12-04 15:55:00 
Presentation Time 20 minutes 
Registration for AI 
Paper # AI2015-23 
Volume (vol) vol.115 
Number (no) no.337 
Page pp.61-66 
#Pages
Date of Issue 2015-11-27 (AI) 


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