TrainsScanner, the predictive maintenance solution for rolling stock manufactured by Alstom has entered in service in Warsaw at Pendolino service centre where it will be used to maintain the fleet of 20 Avelia Pendolino trains operated by PKP Intercity.
The solution provides predictive maintenance and continuous assessment of rolling stock’s technical condition. Thanks to digital data analysis, it identifies the optimal moment for component replacement. The system implemented in Warsaw builds on Alstom’s long experience in the United Kingdom, where TrainScanner has been used in servicing Avanti West Coast’s Pendolino fleet for years.
“We are very proud to be inaugurating this TrainScanner in mainland Europe. It is another milestone towards the future of mobility. Thanks to automated, data-based solutions, we can continuously improve predictive maintenance processes, which translates into direct benefits for operators and passengers. Predictive and condition-based assessment of the fleet’s technical condition helps avoid downtime and maximises availability,” said Artur Fryczkowski, Managing Director Alstom in Poland and Ukraine.
The TrainScanner is using 3D cameras and lasers which automatically enables condition-based and predictive maintenance for wheels, brake pads and pantograph carbon strips as well as on under-frames and body shells. Especially suitable for large or dispersed fleets or when high level of service is required, subsystem information is captured as the train passes through the TrainScanner.
After automated inspection, the data is transmitted to Alstom’s HealthHub platform, which translates raw data into actionable information, by using rule-based algorithms, leading to the calculation of a health index for each asset.
TrainScanner and HealthHub provide significant benefits in terms of both maintenance and operation, lowering the consumption of materials and the number of required maintenance activities, and thus enabling significant savings for fleet owners and operators. The system contributes to longer intervals between maintenance, longer component life and increased safety during operation.