2024
DOI: 10.1002/pc.29405
|View full text |Cite
|
Sign up to set email alerts
|

Indentation damage identification of carbon fiber composite laminates based on modal acoustic emission and machine learning

Sai‐nan Xue,
Jie Wang,
Ya‐zhao Liang
et al.

Abstract: In this paper, a damage signal recognition for carbon fiber composites based on modal acoustic emission is proposed, which can realize the damage classification of acoustic emission signals. First, according to modal analysis results of the acoustic source signal obtained from the pencil lead breakage experiment, digital filters are designed to realize the mode separation of symmetric (S0) and anti‐symmetric (A0) in the acoustic emission signal. Based on the modal characteristics of the damage signals, an algo… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Publication Types

Select...

Relationship

0
0

Authors

Journals

citations
Cited by 0 publications
references
References 39 publications
0
0
0
Order By: Relevance

No citations

Set email alert for when this publication receives citations?