Railway Track Inspection Using Deep Learning Based on Audio to Spectrogram Conversion: An on-the-Fly Approach

Railway Track Inspection Using Deep Learning Based on Audio to Spectrogram Conversion: An on-the-Fly Approach

The periodic inspection of railroad tracks is very important to find structural and geometrical problems that lead to railway accidents. Currently, in Pakistan, rail tracks are inspected by an acoustic-based manual system that requires a railway engineer as a domain expert to differentiate between d...

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Bibliographic Details
Main Authors: Muhammad Shadab Alam Hashmi, Muhammad Ibrahim, Imran Sarwar Bajwa, Hafeez-Ur-Rehman Siddiqui, Furqan Rustam, Ernesto Lee, Imran Ashraf
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Sensors
Subjects:
railway track inspection
spectrograms
acoustic signals
machine learning
deep convolution neural networks
LSTM
Online Access:https://www.mdpi.com/1424-8220/22/5/1983

Internet

https://www.mdpi.com/1424-8220/22/5/1983

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