Railways Expand AI-Based Predictive Maintenance Systems

08 Dec 2025 CW Team

Indian Railways continues to advance technological modernisation, with several Artificial Intelligence-based predictive maintenance applications now being implemented across the network.

Pilot projects using AI-driven predictive maintenance for signalling systems are under way at selected stations to evaluate their effectiveness. These trials aim to generate measurable outputs, including standardised failure-prediction logic and automated alert mechanisms.

An AI-enabled Intrusion Detection System (IDS) using Distributed Acoustic Sensing (DAS) has been deployed across a 141-route-kilometre section of Northeast Frontier Railway to detect the presence of elephants on the tracks. Alerts are generated for loco pilots, station masters and control rooms to facilitate timely preventive action. Tenders have also been awarded for extending this system to a further 981 route kilometres across Indian Railways.

Indian Railways has also adopted advanced technologies such as the Online Monitoring of Rolling Stock System (OMRS) and the Wheel Impact Load Detector (WILD) to support predictive maintenance of rolling stock.

In July 2025, a Memorandum of Understanding was signed with the Dedicated Freight Corridor Corporation of India Limited for the induction of a Wayside Machine Vision-based Inspection System (MVIS). Driven by AI and machine learning, MVIS detects hanging parts or missing components in moving trains.

Another MoU with the Delhi Metro Rail Corporation provides for the introduction of the Automatic Wheel Profile Measurement System (AWPMS). This non-contact technology measures train wheel profiles automatically, offering real-time data on wheel geometry and wear.

This information was provided by Shri Ashwini Vaishnaw, Union Minister for Railways, Information & Broadcasting and Electronics & Information Technology, in a written reply in the Rajya Sabha.

"Join industry leaders at RAHSTA Expo, India's premier platform for roads, highways and traffic infrastructure. Register now to explore innovations, network with experts and shape the future of mobility."

Indian Railways continues to advance technological modernisation, with several Artificial Intelligence-based predictive maintenance applications now being implemented across the network. Pilot projects using AI-driven predictive maintenance for signalling systems are under way at selected stations to evaluate their effectiveness. These trials aim to generate measurable outputs, including standardised failure-prediction logic and automated alert mechanisms. An AI-enabled Intrusion Detection System (IDS) using Distributed Acoustic Sensing (DAS) has been deployed across a 141-route-kilometre section of Northeast Frontier Railway to detect the presence of elephants on the tracks. Alerts are generated for loco pilots, station masters and control rooms to facilitate timely preventive action. Tenders have also been awarded for extending this system to a further 981 route kilometres across Indian Railways. Indian Railways has also adopted advanced technologies such as the Online Monitoring of Rolling Stock System (OMRS) and the Wheel Impact Load Detector (WILD) to support predictive maintenance of rolling stock. In July 2025, a Memorandum of Understanding was signed with the Dedicated Freight Corridor Corporation of India Limited for the induction of a Wayside Machine Vision-based Inspection System (MVIS). Driven by AI and machine learning, MVIS detects hanging parts or missing components in moving trains. Another MoU with the Delhi Metro Rail Corporation provides for the introduction of the Automatic Wheel Profile Measurement System (AWPMS). This non-contact technology measures train wheel profiles automatically, offering real-time data on wheel geometry and wear. This information was provided by Shri Ashwini Vaishnaw, Union Minister for Railways, Information & Broadcasting and Electronics & Information Technology, in a written reply in the Rajya Sabha.

Infrastructure Urban

06 Jul 2026

ABS Marine Sees CRISIL Credit Rating Upgrade

ABS Marine Services has secured an upgrade to its long term and short term credit ratings from CRISIL, reflecting improved profitability and revenue growth through long term contracts. CRISIL moved the long term rating from BBB+/Stable to A-/Stable and revised the short term rating from A2 to A2+. The action signals strengthened financial metrics and operational resilience. The company benefited from durable client relationships with firms such as ONGC and Schlumberger. The rating decision followed stronger cash flows and an enlarged bank loan facility, which increased from Rs 3,705 million (m..

Infrastructure Transport

06 Jul 2026

Project BRAHMANK Marks 16 Years Of Strategic Roads In Arunachal

Project BRAHMANK is marking 16 years of work to establish strategic road and bridge links across Arunachal Pradesh, maintaining and developing 811 kilometres of roads and nearly 86 bridges that range from small culverts to large steel and arch bridges. These transport links are described as critical for ensuring year-round movement of defence personnel, equipment and essential supplies while improving everyday travel for people in remote villages. The project balances national security requirements with regional development by focusing on reliable access in challenging terrain. Notable enginee..

Infrastructure Transport

06 Jul 2026

Longleng CSOs Give One Week Ultimatum Over Two-Lane Highway

Civil society organisations (CSOs) in Longleng district have demanded immediate restoration of the deteriorating Changtongya–Longleng two-lane road and sought a detailed status report on the stalled construction within one week. The demand followed a consultative meeting convened under the Phom Peoples' Council (PPC) to discuss welfare and development concerns. PPC president YB Angam Phom said prolonged non-maintenance had caused hardship to commuters and affected transportation, local commerce and the district's development. The meeting urged authorities to undertake immediate restoration a..