ZF's TraXon transmission features predictive maintenance function
ZF's TraXon modular transmission system will be equipped with an optional predictive maintenance function starting in 2019. This offers fleet operators the capability to monitor the condition of critical individual components such as transmission oil or clutch disks via the Cloud. Maintenance can thus be planned proactively, which in turn could shorten vehicle downtimes and avoid stranded vehicles. This could simultaneously reduce costs and extend the transmission's service life.
Starting in 2019, vehicle manufacturers and fleet operators can use the Cloud solution to proactively plan vehicle maintenance. To accomplish this, ZF uses transmission modules that are already pre-installed in the vehicle and transfer information about the transmission's condition to the vehicle OEM's Cloud. The OEM data platform is also connected to the ZF Cloud. The latter has the ability to take the primary data it has received and compile reports on the condition of the transmission components. These can then be read by the OEM or fleet operator and used to proactively plan maintenance.
"With our new predictive maintenance function, we are expanding our reliable TraXon transmission system with an eye toward networking. Vehicle manufacturers and fleet operators gain real added value, as they can count on both our deep transmission expertise as well as our digital competence when it comes to the diagnostic reports. This further demonstrates that ZF lives up to its aspiration of being a comprehensive supplier of intelligent mechanical systems," said Winfried Gründler, Head of Truck and Van Driveline Technology, ZF Commercial Vehicle Technology Division.
The constant ability to evaluate data enables relevant components to be replaced or repaired in good time, which helps avoid expensive breakdowns. The transmission's service life can be extended; standstills and downtime can be reduced. In addition, fleet operators can do without complex contingency plans to maintain the supply chain in the event of a breakdown. As a result, the total cost of ownership can be significantly reduced.