Paper Abstract and Keywords |
Presentation |
2012-02-09 13:00
Fault Classification Based on Likelihood Profile Feature Takuya Mikami, Masashi Ando, Jun Koyama, Seiji Hotta (TUAT), Hisae Shibuya, Shunji Maeda (HITACHI) PRMU2011-192 SP2011-107 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In this paper, we propose a feature called likelihood profile for classifying fault events of a precision machine. This feature is obtained by extending a conventional feature named likelihood histogram to time sequence
one. By experiments with a real-life dataset, it is verified that our feature outperforms conventional ones. Key words fault classification,sensor feature, likelihood profile |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
fault classification / sensor feature / likelihood profile / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 111, no. 430, PRMU2011-192, pp. 37-40, Feb. 2012. |
Paper # |
PRMU2011-192 |
Date of Issue |
2012-02-02 (PRMU, SP) |
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) |
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PRMU2011-192 SP2011-107 |
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