IoT Based Railway Track Faults Detection and Localization Using Acoustic Analysis

IoT Based Railway Track Faults Detection and Localization Using Acoustic Analysis

Rail is one of the most energy efficient and economical modes of transportation. Regular railway track health inspection is an essential part of a robust and secure train operation. Delayed investigations and problem discoveries pose a serious risk to the safe functioning of rail transportation. The...

Full description

Bibliographic Details
Main Authors: Hafeez Ur Rehman Siddiqui, Adil Ali Saleem, Muhammad Amjad Raza, Kainat Zafar, Kashif Munir, Sandra Dudley
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Acoustic analysis
artificial neural network
Internet of Things
machine learning
railway faults detection
Online Access:https://ieeexplore.ieee.org/document/9904575/

Internet

https://ieeexplore.ieee.org/document/9904575/

Similar Items