Proceedings of the International Conference on Advances and Applications in Artificial Intelligence (ICAAAI 2025)

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Autonomous Maintenance in Railways using AI Techniques for Predictive Preservation

Authors
Nalli Vinaya Kumari1, *, G. S. Pradeep Ghantasala2, Pellakuri Vidyullatha3, R. Rajesh Sharma2, Akey Sungheetha2, Gaganpreet Kaur4
1Department of Computer Science and Engineering, Malla Reddy Engineering College for Women, JNTUH, Hyderabad, India
2Department of Computer Science and Engineering, Alliance College of Engineering and Design, Alliance University, Bangalore, India
3Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India
4Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India
*Corresponding author. Email: v.vinayakumari@gmail.com
Corresponding Author
Nalli Vinaya Kumari
Available Online 22 June 2025.
DOI
10.2991/978-94-6463-738-0_22How to use a DOI?
Keywords
Rail networks; Autonomous systems; Asset management; Sensor data; Artificial intelligence; Predictive analytics
Abstract

This paper explores the application of artificial intelligence (AI) in predictive preservation for railway systems. As rail networks become an increasing number of extra complexes, the need for inexperienced and reliable preservation strategies grows. Predictive preservation, powered through manner of way of AI, offers a proactive approach to identifying potential troubles in advance than they bring about failures, thereby reducing downtime and enhancing safety. The paper examines various AI techniques which include machine learning, neural networks, and deep learning, and the manner they’re employed to investigate sensor records, are waiting for machine failures, and optimize preservation schedules. Case studies from modern-day rail networks are provided to demonstrate the effectiveness of AI-driven predictive preservation in improving operational overall performance and reducing costs.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Advances and Applications in Artificial Intelligence (ICAAAI 2025)
Series
Advances in Intelligent Systems Research
Publication Date
22 June 2025
ISBN
978-94-6463-738-0
ISSN
1951-6851
DOI
10.2991/978-94-6463-738-0_22How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Nalli Vinaya Kumari
AU  - G. S. Pradeep Ghantasala
AU  - Pellakuri Vidyullatha
AU  - R. Rajesh Sharma
AU  - Akey Sungheetha
AU  - Gaganpreet Kaur
PY  - 2025
DA  - 2025/06/22
TI  - Autonomous Maintenance in Railways using AI Techniques for Predictive Preservation
BT  - Proceedings of the International Conference on Advances and Applications in Artificial Intelligence (ICAAAI 2025)
PB  - Atlantis Press
SP  - 262
EP  - 272
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-738-0_22
DO  - 10.2991/978-94-6463-738-0_22
ID  - Kumari2025
ER  -