The cooperation is based on VR FleetCare’s technical rail fleet expertise and fleet maintenance optimisation as well as EKE-Electronics’ experience in train automation systems and remote condition monitoring.
The aim is to develop a system that predicts the maintenance need and optimizes the service program of bogies. Data is acquired from the trains by sensors and sensor gateways and a smart combination of cloud and edge computing is applied for the signal analysis. The solution utilises the Adaptive Anomaly Detector and predictive analytics developed by Humaware, EKE’s British subsidiary, integrated into EKE’s cloud based remote monitoring software Smartvision™.
Sensors and sensor gateways will be installed in bogies of VR Group’s locomotives and electric trains during this year. More extensive results of the development work can be expected next year.