Tunnel damage identification method based on relative entropy of ...

Tunnel damage identification method based on relative entropy of wavelet packet energy: An experimental verification, Y L Zhang, X Y Xie, H Q Li, B Zhou.

Tunnel damage identification method based on relative entropy of wavelet packet energy: An experimental verification. Y L Zhang1,*, X Y Xie1, H Q Li1, B ...

Tunnel damage identification method based on relative entropy of ...

PDF | Ineffective methods used to detect damage in subway tunnels can result in severe safety risk. Traditional detection methods use laser scanning,.

An Unsupervised Tunnel Damage Identification Method Based on ...

Thus, in this study, a tunnel damage identification algorithm based on the vibration response of in-service train and WPE-CVAE is proposed, ...

Relative entropy in tunnel with different stiffness loss values

Download scientific diagram | Relative entropy in tunnel with different stiffness loss values from publication: Tunnel damage identification method based on ...

[PDF] An Unsupervised Tunnel Damage Identification Method ...

A tunnel damage identification algorithm based on the vibration response of in-service train and WPE-CVAE is proposed, which can automatically identify ...

An Unsupervised Tunnel Damage Identification Method Based on ...

Thus, in this study, a tunnel damage identification algorithm based on the vibration response of in-service train and WPE-CVAE is proposed, which can ...

An Unsupervised Tunnel Damage Identification Method Based on ...

An Unsupervised Tunnel Damage Identification Method Based on Convolutional Variational Auto-Encoder and Wavelet Packet Analysis. Language: English; Authors: ...

Subway tunnel damage detection based on in-service train dynamic ...

This study describes a method for detecting tunnel damage by using vertical acceleration of an in-service subway train and a multi-step strategy.

Signal processing methodology for detection and localization of ...

In this paper, using signal processing of the mode shapes of damaged columns, we propose a damage localization index (DLI) based on the details of wavelet ...

A Method to Detect Concealed Damage in Concrete Tunnels Using ...

Many machine learning (ML)-based detection methods for interpreting ground-penetrating radar (GPR) data of concrete tunnels require ...

Damage detection and quantitative analysis of shield tunnel ...

Tunnel damage identification method based on relative entropy of wavelet packet energy: An experimental verification · Engineering. IOP Conference Series: Earth ...

Lightweight defect detection algorithm of tunnel lining based on ...

Due to the influence of construction quality, engineering geology and hydrological environment, defects such as dehollowing and insufficient ...

Tunnel structural inspection and assessment using an autonomous ...

Tunnel damage identification method based on relative entropy of wavelet packet energy: An experimental verification · Yalei Zhang,Xiongyao Xie,Li Hongqiao ...

A highly efficient tunnel lining crack detection model based on Mini ...

In the optimization of the proposed model parameters, applying a hybrid loss function that integrated dice loss and cross-entropy loss ...

Vibration-based Damage Identification Methods: A Review and ...

Abdo, M.A.B. and Hori, M. (2002). A numerical study of structural damage detection using changes in the rotation of mode shapes. Journal of Sound and Vibration, ...

Subway tunnel damage detection based on in-service train dynamic ...

Zhang, Tunnel damage identification method based on relative entropy of wavelet packet energy: an experimental verification, IOP Conf. Ser. Earth Environ ...

Vibration–based structural damage identification - Journals

Next, the process of vibration based damage detection will be described as a problem in statistical pattern recognition. This process is composed of three ...

Towards vibration-based damage detection of civil engineering ...

With tech progression, ML and deep learning (DL) has been integrated into engineering applications, outpacing conventional methods, especially ...

Unsupervised Learning Methods for Data-Driven Vibration-Based ...

Structural damage detection using unsupervised learning methods has been a trending topic in the structural health monitoring (SHM) research ...