Paper Abstract and Keywords |
Presentation |
2020-03-05 10:30
Motor Current Signature Analysis Based On-Line Fault Detection of DC Motor Naoki Osako (Kwansei Gakuin Univ.), Hiroyuki Kanbara (ASTEM), Nagisa Ishiura (Kwansei Gakuin Univ.) VLD2019-111 HWS2019-84 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
This article presents a method for online detection of DC motors' fault based on current signature analysis.
While current signature analysis does not require sensors for individual motors and hence is cost
effective, it needs frequency analysis which is a computationally heavy task.
We attempt to achieve online fault detection based on current signature analysis by combined implementation of software and hardware.
Fault detection is based on an observation that faulty motors exhibit large harmonic components in low frequency band. Heavy computation of FFT is offloaded to hardware while the other
tasks are executed by software. We implemented a fault detection system on a programmable SoC, which ran fast enough for online use and were able to
detect faults for variable duties of the input PWM signal. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
motor current signature analysis / fault detection / embedded systems / hardware/software codesign / programmable SoC / DC moror / / |
Reference Info. |
IEICE Tech. Rep., vol. 119, no. 443, VLD2019-111, pp. 101-106, March 2020. |
Paper # |
VLD2019-111 |
Date of Issue |
2020-02-26 (VLD, HWS) |
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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VLD2019-111 HWS2019-84 |
Conference Information |
Committee |
HWS VLD |
Conference Date |
2020-03-04 - 2020-03-07 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Okinawa Ken Seinen Kaikan |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Design Technology for System-on-Silicon, Hardware Security, etc. |
Paper Information |
Registration To |
VLD |
Conference Code |
2020-03-HWS-VLD |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Motor Current Signature Analysis Based On-Line Fault Detection of DC Motor |
Sub Title (in English) |
|
Keyword(1) |
motor current signature analysis |
Keyword(2) |
fault detection |
Keyword(3) |
embedded systems |
Keyword(4) |
hardware/software codesign |
Keyword(5) |
programmable SoC |
Keyword(6) |
DC moror |
Keyword(7) |
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Keyword(8) |
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1st Author's Name |
Naoki Osako |
1st Author's Affiliation |
Kwansei Gakuin University (Kwansei Gakuin Univ.) |
2nd Author's Name |
Hiroyuki Kanbara |
2nd Author's Affiliation |
ASTEM RI/KYOTO (ASTEM) |
3rd Author's Name |
Nagisa Ishiura |
3rd Author's Affiliation |
Kwansei Gakuin University (Kwansei Gakuin Univ.) |
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Speaker |
Author-1 |
Date Time |
2020-03-05 10:30:00 |
Presentation Time |
25 minutes |
Registration for |
VLD |
Paper # |
VLD2019-111, HWS2019-84 |
Volume (vol) |
vol.119 |
Number (no) |
no.443(VLD), no.444(HWS) |
Page |
pp.101-106 |
#Pages |
6 |
Date of Issue |
2020-02-26 (VLD, HWS) |
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