Paper Abstract and Keywords |
Presentation |
2023-03-17 15:15
Statistical Modeling of Automotive Component Noise-Source Including Load Change Noboru Maeda (SOKEN), Keishi Miwa (TMC) EMCJ2022-93 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Electromagnetic noise is often a phenomenon with large fluctuation, so, it is effective to understand the noise source characteristics including fluctuations in order to design the emissions from a system with noise sources. For this reason, a method is proposed to construct a statistical model by applying a generalized extreme value distribution to each frequency of noise current frequency spectrum obtained by repeatedly measuring on a bench while varying the load. It aims at obtaining a practical model by a simple method, not a rigid model construction. The method is applied to the noise current from an in-vehicle DC-DC converter, and the prediction accuracy of the statistical distribution after the load changes has been verified. As a result, it is shown that the distribution and the upper limit of noise intensity can be predicted with practical accuracy in the band below 700MHz. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
automotive component / wire-harness / emission noise / statistical model / generalized extreme value distribution / / / |
Reference Info. |
IEICE Tech. Rep., vol. 122, no. 446, EMCJ2022-93, pp. 7-12, March 2023. |
Paper # |
EMCJ2022-93 |
Date of Issue |
2023-03-10 (EMCJ) |
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) |
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EMCJ2022-93 |
Conference Information |
Committee |
EMCJ MICT |
Conference Date |
2023-03-17 - 2023-03-17 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Kikai-Shinko-Kaikan Bldg |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Healthcare and Medical Information Communication Technologies, EMC, etc |
Paper Information |
Registration To |
EMCJ |
Conference Code |
2023-03-EMCJ-MICT |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Statistical Modeling of Automotive Component Noise-Source Including Load Change |
Sub Title (in English) |
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automotive component |
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wire-harness |
Keyword(3) |
emission noise |
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statistical model |
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generalized extreme value distribution |
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1st Author's Name |
Noboru Maeda |
1st Author's Affiliation |
SOKEN, INC. (SOKEN) |
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Keishi Miwa |
2nd Author's Affiliation |
TOYOTA MOTOR CORPORATION (TMC) |
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Speaker |
Author-1 |
Date Time |
2023-03-17 15:15:00 |
Presentation Time |
25 minutes |
Registration for |
EMCJ |
Paper # |
EMCJ2022-93 |
Volume (vol) |
vol.122 |
Number (no) |
no.446 |
Page |
pp.7-12 |
#Pages |
6 |
Date of Issue |
2023-03-10 (EMCJ) |
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