The Howrah Division has launched an AI and ML-driven predictive maintenance system for Vande Bharat trains, designed to analyse real-time REMMLOT data for early fault detection. Developed at the Jheel Siding Coaching Depot, this system enhances operational efficiency, prevents disruptions, and sets a modern benchmark for Indian Railways’ maintenance practices.
Introduction:
The Howrah Division’s step toward modernising train maintenance with AI and ML technology. Development of predictive maintenance software at Jheel Siding Coaching Depot.
Functionality and Operation:
- How the software utilises REMMLOT data to monitor train set operations.
- Real-time analysis enables fault detection and preventive maintenance, reducing the risk of train disruptions.
Technological Insights:
- Application of advanced algorithms, inverted logic trees, and preset thresholds for precise fault identification.
- Detailed fault analysis allows for targeted intervention by the maintenance team, enhancing reliability.
Enhanced Efficiency Through AI and ML:
- Integration of OEM manuals, feedback records, and ML libraries for accurate fault resolution.
- Continuous learning and improvement cycle embedded within the software.
Achievements and Impact:
Successful resolution of 22 faults, including issues with Static Inverters, LTC modules, relays, and speed sensors. Daily reports in PDF for fault documentation, corrective actions, and improved maintenance transparency.
Future Expansion and Upgrades:
Potential to deploy this system across Indian Railways, improving reliability and deepening fault analysis. Upcoming enhancements like time trend analysis and temperature profiling to optimise maintenance schedules.
Alignment with Indian Railways Vision:
- How this initiative supports Indian Railways’ commitment to technology adoption for operational efficiency.
- AI and ML as tools shaping the future of predictive maintenance.
Conclusion:
This AI-driven predictive maintenance system is a pioneering step in railway technology, showcasing Indian Railways’ dedication to enhancing operational reliability. By integrating continuous learning and real-time monitoring, Howrah Division is setting a high standard for train maintenance, paving the way for future advancements across the network.
Source: ER – Press Release | Image Credit (representational): MoR
