Energy Ratio Variation-Based Structural Damage Detection Using Convolutional Neural Network

Energy Ratio Variation-Based Structural Damage Detection Using Convolutional Neural Network

In the field of structural health monitoring (SHM), with the mature development of artificial intelligence, deep learning-based structural damage identification techniques have attracted wide attention. In this paper, the convolutional neural network (CNN) is used to extract the damage feature of si...

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Bibliographic Details
Main Authors: Chuan-Sheng Wu, Yang-Xia Peng, De-Bing Zhuo, Jian-Qiang Zhang, Wei Ren, Zhen-Yang Feng
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Applied Sciences
Subjects:
simple supported steel beams
structural damage detection
convolutional neural network
wavelet packet decomposition
energy ratio variation
Online Access:https://www.mdpi.com/2076-3417/12/20/10220

Internet

https://www.mdpi.com/2076-3417/12/20/10220

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