Quantitative Investigation of Acoustic Emission Waveform Parameters from Crack Opening in a Rail Section Using Clustering Algorithms and Advanced Signal Processing

Quantitative Investigation of Acoustic Emission Waveform Parameters from Crack Opening in a Rail Section Using Clustering Algorithms and Advanced Signal Processing

Acoustic emission (AE) is an emerging technology for real-time non-destructive testing of structures. While research on a simulated AE source in rail and testing on rail material using small beam samples have been conducted, a study is required in lab environment to investigate AE waveform character...

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Bibliographic Details
Main Authors: Harsh Mahajan, Sauvik Banerjee
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Sensors
Subjects:
acoustic emission testing
rail monitoring
unsupervised learning
bending experiment
Online Access:https://www.mdpi.com/1424-8220/22/22/8643

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