Mining data in the transportation sector
Televic GSP leads the research about monitoring technology
19th of January, Belgium – Televic GSP, a global technology company, is taking research about mining data in the transportation sector a huge step further. In a new research project, the company is investigating how to collect and present insightful data about train fleets to enable predictive maintenance.
Stay up-to-date! Subscribe to our news today.
A new imec.icon research project brings together industry players and research groups with different specializations. For Televic GSP, leading the research, the focus is on designing novel techniques for mining the explosive amounts of collected sensor data on trains. "On-board sensor systems are getting more and more complex", says Dirk Van Den Wouwer, R&D manager at Televic GSP. "Since it is getting easier and cheaper to produce sensors, more of them are effectively being used: we have gone from 3 or 4 per coach to a good 50."
Predictive maintenance
All these sensors collect data about a variety of parameters, such as the temperature of components, vibrations, speed, acceleration and load on the train's metal structure. Investigating how to collect and present this vital information will help Televic GSPto provide an optimal tool for predictive maintenance. And that is of key importance for train operators: Seeing from a distance what is wrong with a train set, gives them the opportunity to send it to the right repair location immediately. There, the right fitters, parts and tools are available, and as a result, downtime is limited to a minimum.
About imec.icon research projects
Imec.icon research projects are agile and demand-driven, combining academia and industry partners. The projects typically have a duration of two years, yet quickly adapt to the rapid-evolving digital landscape.
