Multi-Harmonic Nonlinear Ultrasonic Fusion with Deep Learning for Subtle Parameter Identification of Micro-Crack Groups

Multi-Harmonic Nonlinear Ultrasonic Fusion with Deep Learning for Subtle Parameter Identification of Micro-Crack Groups

Fatigue crack defects in metallic materials significantly reduce the remaining useful life (RUL) of parts. However, much of the existing research has focused on identifying single-millimeter-scale cracks using individual nonlinear ultrasonic responses. The identification of subtle parameters from co...

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Bibliographic Details
Main Authors: Qi Lin, Xiaoyang Bi, Xiangyan Ding, Bo Yang, Bingxi Liu, Xiao Yang, Jie Xue, Mingxi Deng, Ning Hu
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Sensors
Subjects:
convolutional neural network
information fusion
micro-crack groups identification
nondestructive testing
ultrasonic nonlinearity
Online Access:https://www.mdpi.com/1424-8220/25/4/1152
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