Advances in the field of Predictive Maintenance CBM
Masats hosted the Quo Vadis CBM workshop on 20 October organised by IN-MOVE by Railgrup and the members of the #CBM Working Group, of which Masats is a member.
For this, it is very important to secure data between suppliers and operators, to collect data that provides value for analysis thanks to the expert knowledge of system manufacturers, and to analyse this large amount of data, which is done thanks to innovations in the field of artificial intelligence.
Masats had the opportunity to present its work being carried out in terms of predictive maintenance of door and ramp systems.
Firstly, pilot tests are being carried out on buses in Madrid, Barcelona and Singapore, with very encouraging forecasts. With the analysis carried out to date, the potential of the system has been measured, and based on the data collected, it is expected that predictive systems can increase vehicle availability by 50%, reduce life cycle costs by 45% (reducing incidents and unwanted vehicle downtime, and reducing the preventive maintenance plan), and improve reliability by 150%.
Predictive maintenance allows remote diagnosis of the equipment, alerting the operator before a malfunction occurs that affects service. It makes it possible to reduce the frequency of preventive checks and to plan vehicle maintenance, eliminating forced downtime.
This project has also made it possible to incorporate improvements in the design of Masats systems, by having real data from the field; and it has also allowed for improved integration with the vehicle.
Some of the main conclusions reached during the conference were:
- The importance of cultural change for people to believe in and use these new technologies and failure prediction systems.
- The importance of system manufacturers, such as Masats, who, based on their expert knowledge of the product, are the only ones capable of creating predictive alarms, so that manufacturers and operators can integrate them into their systems.
- The need to converge RAMS analysis with predictive models, to arrive at PHM (Prognostics and Health Management).
- Finally, it is vital for operators to be able to audit predictive models, for operators to trust the system, for which it is very important to start from RAMS analysis.
With this project, Masats continues its commitment to innovation in cutting-edge technologies to improve the experience of operators and users with Masats accessibility systems.