Optimising maintenance and operational cost is one of the biggest challenges facing the transportation industry. TIRIS is a Thales digital service that provides predictive maintenance and operational support. The application is designed to empower users by giving them access to asset and system data, which can support their decision-making process.
With TIRIS, operations and maintenance teams have the opportunity to benefit from underutilised data, using dashboards to display trends in the status of assets and systems. Smart sensors can be installed to create new data sources, adding value and extracting further insights. Existing and new data sources are cyber-secured from the data acquisition phase throughout the data processing and storage phase.
In addition to the value of making data accessible, TIRIS also advances remote condition monitoring methods by implementing machine learning techniques. This approach to asset performance management gives users the power to understand the behaviour of individual assets and prioritise maintenance based on this knowledge.
TIRIS leverages over ten years of experience in predictive maintenance research. This expertise is reflected through the integration of algorithms, which have been designed to calculate the health of assets and their remaining useful life. Furthermore, some algorithms will identify trends in data, which will allow users to predict potential failures.
The warming period provided by remaining useful life calculations and trend analysis allows the maintenance and operations team to plan for repairs. This allows for an understanding of what skills and spare parts would be required to repair a specific failure mode. The result is increased savings in operational cost, reduced penalties and maintenance cost as well as shorter repair times or number of unplanned shutdowns.