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Junwei Fan

Beijing University of Technology

100 Ping Le Yuan

Chaoyang District

Beijing, 100020

China

SCHOLARLY PAPERS

1

DOWNLOADS

35

TOTAL CITATIONS

0

Scholarly Papers (1)

1.

Monitoring and Identification of Weld Damage Based on Deep Learning and Acoustic Emission Methods

Number of pages: 33 Posted: 03 Oct 2024
Beijing University of Technology, Beijing University of Technology, Beijing University of Technology, Beijing University of Technology and affiliation not provided to SSRN
Downloads 35 (1,249,711)

Abstract:

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Acoustic Emission, steel structures, weld damage, convolutional neural network, intelligent recognition