Acoustic Emission Signal Denoising of Bridge Structures Using SOM Neural Network Machine Learning-Reference-Cited by-同舟云学术

Acoustic Emission Signal Denoising of Bridge Structures Using SOM Neural Network Machine Learning

Published:2023-02 Issue:1 Volume:37 Page:
ISSN:0887-3828
Container-title:Journal of Performance of Constructed Facilities
language:en
Short-container-title:J. Perform. Constr. Facil.

Author:

Yu Aiping¹,Liu Xiangtai²,Fu Feng³^ORCID,Chen Xuandong⁴,Zhang Yan¹

Affiliation:

1. Professor, College of Civil and Architectural Engineering, Guilin Univ. of Technology, Guilin 541004, China.

2. Master’s Candidate, College of Civil and Architectural Engineering, Guilin Univ. of Technology, Guilin 541004, China.

3. Associate Professor, Dept. of Civil Engineering, School of Mathematics, Computer Science & Engineering, City, Univ. of London, Northampton Square, London EC1V 0HB, UK (corresponding author). ORCID: .

4. Lecturer, College of Civil and Architectural Engineering, Guilin Univ. of Technology, Guilin 541004, China.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Safety, Risk, Reliability and Quality,Building and Construction,Civil and Structural Engineering

Link

https://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29CF.1943-5509.0001778

Reference48 articles.

1. Application of wavelet energy and Shannon entropy for feature extraction in gearbox fault detection under varying speed conditions

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3. Wavelet packet transform for detection of single events in acoustic emission signals

4. Prediction of the Postfire Flexural Capacity of RC Beam Using GA-BPNN Machine Learning

5. Shear Resistance Prediction of Post-fire Reinforced Concrete Beams Using Artificial Neural Network

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