Predictive Maintenance for Transmission Systems

Extended Service Life of the TraXon Transmission System Through Predictive Maintenance

ZF Friedrichshafen AG leverages predictive maintenance to continuously process and visualize data, such as ZF Ecofluid M transmission oil and ZF Sachs clutch performance, from the automated TraXon transmission via the ZF IoT Cloud. By analyzing key transmission KPIs, the goal is to extend the transmission's service life.

Overview Of All ZF References

Cloud-Based Solutions for Monitoring Transmission Data

ZF Friedrichshafen AG, a global leader in driveline and chassis technology, supplies innovative mobility solutions for passenger cars, commercial vehicles, and industrial technology. The company’s digital transformation has driven the development of new, forward-thinking business ideas. As a strategic partner, doubleSlash supports ZF in implementing future-oriented IoT and cloud computing technologies.

For the ZF TraXon transmission system, forecasts, analyses, and reporting of transmission data are conducted via technical and cloud-based connections. Equipped with a transmitter device, the TraXon transmission continuously sends data to the ZF IoT Cloud, where it is transformed, stored, and processed. Key performance indicators (KPIs) are visualized and analyzed through an intuitive dashboard.

By connecting the transmission to the ZF IoT cloud, ZF is able to read and analyse the transmission data even before maintenance. The backend developed by doubleSlash presents the transmission data automatically, quickly and reliably in the frontend, ensuring optimal analysis results.