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...

Täydet tiedot

Bibliografiset tiedot
Päätekijät: Chuan-Sheng Wu, Yang-Xia Peng, De-Bing Zhuo, Jian-Qiang Zhang, Wei Ren, Zhen-Yang Feng
Aineistotyyppi: Artikkeli
Kieli:English
Julkaistu: MDPI AG 2022-10-01
Sarja:Applied Sciences
Aiheet:
simple supported steel beams
structural damage detection
convolutional neural network
wavelet packet decomposition
energy ratio variation
Linkit:https://www.mdpi.com/2076-3417/12/20/10220

Internet

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

Samankaltaisia teoksia