Damage identification based on the inner product matrix and parallel convolution neural network for frame structure

Damage identification based on the inner product matrix and parallel convolution neural network for frame structure

Abstract Structural health monitoring based on vibration signal analysis has been extensively employed for damage identification. Mainstream machine learning techniques, such as convolutional neural networks (CNN), often rely on single-domain inputs, which may provide limited information for accurat...

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Bibliographic Details
Main Authors: Yingying He, Ji Feng, Baogang Sun, Feixue Wang, Likai Zhang, Jidi Jiang
Format: Article
Language:English
Published: Nature Portfolio 2024-12-01
Series:Scientific Reports
Subjects:
Damage identification
Feature fusion
Convolutional neural network
Vibration signals
Inner product matrix
Online Access:https://doi.org/10.1038/s41598-024-82058-7
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