機械学習を用いたAE波形信号の新規分析法

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Published in生産研究 Vol. 71; no. 6; pp. 1013 - 1017
Main Authors 于, 豊銘, 岡部, 洋二, 張, 格
Format Journal Article
LanguageEnglish
Published 東京大学生産技術研究所 01.11.2019
Online AccessGet full text
ISSN0037-105X
1881-2058
DOI10.11188/seisankenkyu.71.1013

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Author 于, 豊銘
岡部, 洋二
張, 格
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  fullname: 岡部, 洋二
  organization: 東京大学生産技術研究所 機械・生体系部門
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  fullname: 張, 格
  organization: 東京大学大学院 工学系研究科
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References 2) Maillet, E., et al. “Feasibility and limitations of damage identification in composite materials using acoustic emission.” Composites: Part A, 75(2015), pp 77-83.
3) Goodfellow, I., et al. Deep learning. MIT press, 2016.
1) Liptai, R. G., and Clement A. T. “Acoustic-Emission Inspection.” Metals Handbook 2 (1976).
References_xml – reference: 3) Goodfellow, I., et al. Deep learning. MIT press, 2016.
– reference: 2) Maillet, E., et al. “Feasibility and limitations of damage identification in composite materials using acoustic emission.” Composites: Part A, 75(2015), pp 77-83.
– reference: 1) Liptai, R. G., and Clement A. T. “Acoustic-Emission Inspection.” Metals Handbook 2 (1976).
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Title 機械学習を用いたAE波形信号の新規分析法
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