Predictive Maintenance for Non-Road Mobile Machinery - PreMaNRM²

Unexpected breakdowns of mobile machinery often cause high costs, loss of production and operational delays. Although machines are generating more and more data, this data is still insufficiently used for predictive maintenance. PreMa4MM helps companies to turn machine data into actionable maintenance insights, so that maintenance can be planned more efficiently and downtime is avoided. Researchers are developing a unified approach to data capture from mobile machines and combining this data with machine learning models. In addition, practical cases are developed in lab and business environments to validate the technology for realistic industrial applications.