Rail operations are in constant flux with thousands of trains and infrastructure systems operating every day. However, regular maintenance and accurate diagnosis are critical to ensure these systems operate reliably, efficiently and on time. Daily disruptions or more serious problems experienced in railway systems can now be resolved more quickly and effectively with the support of modern technologies.
The Artificial Intelligence Revolution in Railway Maintenance
In railway maintenance artificial intelligence (AI)has become a tool that has fundamentally changed the process of diagnosing and solving problems. Ossee Yiboe, Data Scientist at Alstom, is one of the experts pioneering the use of AI in this sector. With AI solutions, operations are being optimized in a wide range of areas, from train planning to signaling systems.
The Role of AI in the Maintenance Process
- Data analysis: Data from trains and infrastructure are continuously stored in logs. Logs of trains that are running smoothly are automatically deleted, while in the event of a malfunction, this data is transmitted to technicians in real time.
- Fast and Accurate Diagnosis: By analyzing data in logs, AI quickly identifies the causes of problems. This process halves maintenance professionals’ diagnostic time and increases accuracy.
“Our goal is to create tools that help experts quickly find and fix system issues by analyzing logs.”
Faster Solutions with Artificial Intelligence
Artificial intelligence identifies the causes of problems by analyzing hundreds of variables to support technicians' decision-making process. Especially in complex faults, this technology helps the diagnostic process It speeds up 8 times.
Sample Application
In a maintenance project, the AI model analyzed approximately 1.000 system variables to identify root causes of the problem in just one Limited to 12 possibilitiesThis allowed technicians to respond to issues more quickly, minimizing service disruptions.
More Efficient Maintenance with AI
AI-based solutions to identify reasons for failure 90% accuracy rate This provides great support for both experienced and novice technicians. In addition, the overall efficiency of maintenance processes is increased thanks to the solutions suggested by AI.
Advantages of Artificial Intelligence in Maintenance
- Rapid Diagnosis: More accurate fault detection in less time.
- Less Labor Requirement: The workload of technical experts is reduced.
- High Accuracy: Solving problems becomes more effective.
- Educational Support: Provides guidance for less experienced technicians.
Future Solutions
Leading companies like Alstom aim to prepare for future challenges by using AI in all areas of the rail industry. Ossee Yiboe says that these solutions are not only effective in solving current problems, but also in predicting future ones:
“Every use case we develop will help diagnose future problems and make maintenance more efficient.”
A New Era in the Railway Sector with Artificial Intelligence
Artificial intelligence provides both operational and economic advantages by making railway systems more reliable and efficient. This increase in efficiency makes a great contribution to the sector by preventing service interruptions and accelerating maintenance processes.
In the future, with the wider adoption of AI in the railway industry, businesses will both reduce costs and improve service quality. This technology will play a key role in moving railway systems towards an innovative and sustainable future.
