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Degree:Doctor
Status:Employed
School/Department:控制科学与工程学院

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张雷

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Gender:Male

Education Level:Postgraduate (Doctoral)

Alma Mater:天津大学

Paper Publications

Current position: Home / Scientific Research / Paper Publications
Damage assessments of composite under the environment with strong noise based on synchrosqueezing wavelet transform and stack autoencoder algorithm
Date of Publication:2020-05-01 Hits:

Affiliation of Author(s):控制科学与工程学院
Journal:Measurement: Journal of the International Measurement Confederation
First Author:苏晨辉
Indexed by:Applied Research
Document Code:E7AA4303239F4351B14A05EDB572DC2A
Volume:156
Translation or Not:no
Date of Publication:2020-05-01
Date of Publication:2020-05-01

Pre One:Improved Damage Localization and Quantification of CFRP Using Lamb Waves and Convolution Neural Network

Next One:Damage imaging for composite using Lamb wave based on minimum variance distortion-less response method

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