Predictive maintenance allows railway operators to optimise operating and maintenance costs of large-scale investments. The basis of predictive maintenance is the analysis of operating data, diagnostic data and maintenance information using evaluation software and algorithms.
Enotrac maintains partnerships with specialised IT companies for predictive maintenance projects. These companies provide expertise in software and systems engineering with comprehensive methodological knowledge from embedded systems to cloud computing. Enotrac contributes many years of practical experience in the technology and maintenance processes of railway vehicles to these partnerships. Solutions are created that allow the customer to introduce and apply predictive maintenance for critical components, taking into account economic efficiency and practicality.
It is often possible to improve maintenance processes solely on the basis of existing diagnostic or process data, for example through automatic detection and alarming by means of a defect detection tool. Enotrac therefore always strives for a step-by-step approach in order to quickly achieve improvements in maintenance. The customer and their processes can be better integrated in this way.
Lay the foundation for digitizing your maintenance processes with our monitoring solution Romonto for your rolling stock.
Further services for Maintenance & Modernisation
