REVIEW PAPER RAILWAY TRACK FAULT DETECTION AND AUTOMATION SYSTEMS

Authors

  • Mr. Khilari V.S. Lecturer Department of Electronics & Telecommunication Engineering, SVSMD’s KKI Polytechnic, Akkalkot, Maharashtra, India.
  • Ms.Samane Tanvi Student Department of Electronics & Telecommunication Engineering, SVSMD’s KKI Polytechnic, Akkalkot, Maharashtra, India.
  • Ms.Gunje Ashwita Student Department of Electronics & Telecommunication Engineering, SVSMD’s KKI Polytechnic, Akkalkot, Maharashtra, India.

Keywords:

railway track fault detection; automation system; sensors; IoT; railway safety;

Abstract

The application of Railway Track Fault Detection and Automation Systems has become important in the railway transportation sector recently. Railway transportation faces numerous challenges in ensuring passenger safety including damaged tracks, crack formation, poor maintenance, communication delays, and manual inspection limitations. The main concept of Railway Track Fault Detection and Automation Systems is its reliability, high performance, automation, accuracy, and cost-effectiveness. This paper presents a review of the applications of automation systems in railway track monitoring, crack detection, obstacle detection, and safety management. A special focus is laid on the strength and limitations of the application and the way in utilizing intelligent automation systems for higher railway safety and efficiency.

Downloads

Download data is not yet available.

References

S. L. Teal, A. I. Rudnicky, “A Performance Model of System Delay and User Strategy Selection”, Conference on Human Factors in Computing Systems, California, USA, May 3-7, 1992

P. Mowforth, I. Bratko, “AI and Robotics: Flexibility and Integration”, Cambridge University Press, 1987

R. Gerhards, S. Christensen, “Real-time detection and monitoring systems using intelligent sensors”, Wiley Online Library, Vol. 43, No. 6, pp. 385-392, 2003

S. Fahad, S. Hussain, B. S. Chauhan, “Automation and Safety Systems in Smart Transportation”, Transportation Protection, Vol. 71, pp. 101–108, 2015

C. Chellaswamy, T.S. Geetha, A. Vanathi, K. Venkatachalam, “An IoT based rail track condition monitoring and derailment prevention system”, Railway Engineering Science, Vol. 11, Issue 2, 2020.

Hafeez Ur Rehman Siddiqui, Adil Ali Saleem, “IoT Based Railway Track Faults Detection and Localization Using Acoustic Analysis”, IEEE Access, 2022.

K. Brintha, S. Joseph Jawhar, “FOD-YOLO NET: Fasteners fault and object detection in railway tracks using deep YOLO network”, Journal of Intelligent & Fuzzy Systems, 2024.

Velagapudi Yoga Nandini, Majety Padma Lakshmi, “Digital Twin-Based Railway Track Fault Detection Using IoT and AI”, International Journal of Engineering Research and Science & Technology, 2026.

Omar Rodríguez-Abreo, Mario A. Quiroz-Juárez, “Automatic Detection of Railway Faults Using Neural Networks: A Comparative Study of Transfer Learning Models and YOLOv11”, Infrastructures Journal, 2025.

Jiale Li, Yulin Fu, Dongwei Yan, “An Edge AI System Based on FPGA Platform for Railway Fault Detection”, arXiv Research Paper, 2024.

Tiange Wang, Zijun Zhang, Fangfang Yang, “Intelligent Railway Foreign Object Detection: A Semi-supervised Convolutional Autoencoder Based Method”, arXiv Research Paper, 2021.

Dinakumari, Shrinivas Gaddad, “Advanced Railway Track Fault Detection Using Internet Of Things (IoT)”, Journal of Scientific Research and Technology, 2025.

Downloads

Published

2024-04-15

How to Cite

[1]
“REVIEW PAPER RAILWAY TRACK FAULT DETECTION AND AUTOMATION SYSTEMS”, IEJRD - International Multidisciplinary Journal, vol. 9, no. 2, p. 5, Apr. 2024, Accessed: Oct. 10, 2026. [Online]. Available: https://iejrd.com/index.php/iejrd/article/view/3269

Similar Articles

1-10 of 771

You may also start an advanced similarity search for this article.