Deep Learning-Based Acoustic Emission Scheme for Nondestructive Localization of Cracks in Train Rails under a Load
This research proposes a nondestructive single-sensor acoustic emission (AE) scheme for the detection and localization of cracks in steel rail under loads. In the operation, AE signals were captured by the AE sensor and converted into digital signal data by AE data acquisition module. The digital da...
Main Authors: | Wara Suwansin, Pattarapong Phasukkit |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-01-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/21/1/272 |
Similar Items
-
Long Term Health Monitoring of Anthony Wayne Bridge Main Cable with Acoustic Emission Technique
by: Seyedianchoobi, Rasa
Published: (2013) -
Nondestructive Acoustic Testing of Ceramic Capacitors Using One-Class Support Vector Machine With Automated Hyperparameter Selection
by: Saku Levikari, et al.
Published: (2020-01-01) -
Module with Piezoelectric Sensor for Acoustic Emission Applications
by: Irinela CHILIBON, et al.
Published: (2013-01-01) -
Defect Location Analysis of Tank Bottom Based on Acoustic Emission with Different Location Algorithms
by: Wang He, et al.
Published: (2014-02-01) -
Acoustic emission based deep learning technique to predict adhesive bond strength of laser processed CFRP composites
by: Sathiyamurthy Ramkumar, et al.
Published: (2020-01-01)