Alstom is a global leader in smart and sustainable mobility. The company develops and delivers integrated railway systems that support safe, efficient and low-carbon transport. Every day, Alstom solutions enable the movement of more than 100 million passengers worldwide, contributing to the decarbonisation of transport and the development of connected societies.
AI-supported Root Cause Analysis for Railway Systems
Railway Systems
Partner
Alstom
Background
Objective
The objective of this MONA LISA use case is to improve the efficiency of handling product issues in railway systems. By leveraging AI technologies, the use case aims to reduce the time required to analyse issues, identify root causes and propose solutions, ultimately improving system availability and maintenance processes.
Technical objectives
This use case introduces AI-based support for managing product issues reported as tickets, where relevant information is distributed across multiple systems and databases. The key technical objectives are:
Enable intelligent visualisation of system logs to support faster understanding of complex data
Support automated root cause analysis by correlating information from multiple data sources
Generate AI-assisted solution proposals to support engineers in resolving issues efficiently