A Novel Approach to Railway Track Faults Detection Using Acoustic Analysis

A Novel Approach to Railway Track Faults Detection Using Acoustic Analysis

Regular inspection of railway track health is crucial for maintaining safe and reliable train operations. Factors, such as cracks, ballast issues, rail discontinuity, loose nuts and bolts, burnt wheels, superelevation, and misalignment developed on the rails due to non-maintenance, pre-emptive inves...

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Bibliographic Details
Main Authors: Rahman Shafique, Hafeez-Ur-Rehman Siddiqui, Furqan Rustam, Saleem Ullah, Muhammad Abubakar Siddique, Ernesto Lee, Imran Ashraf, Sandra Dudley
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Sensors
Subjects:
railway track inspection
acoustic signals analysis
railway track cracks detection
machine learning
deep convolution neural networks
logistic regression
Online Access:https://www.mdpi.com/1424-8220/21/18/6221

Internet

https://www.mdpi.com/1424-8220/21/18/6221

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