PROGnostics based Reliability Analysis for Maintenance Scheduling

Steckbrief

Eckdaten

Duration:
01.10.2017 to 30.09.2020
Organizational Unit:
Chair of Machine Tools, Machine Data Analytics and NC-Technology
Funding:
European Commission EC
Status:
Running

Research partner

  • FIDIA,  CeSI,  Budapest University of Technology and Economics BME,  CASP,  SAVVY-DS,  IK4-IDEKO, University of Patras University of Patras,  Aurrenak S.Coop.,  GIZELIS ROBOTICS,  We Plus S.p.A.,  CALPAK,  Universitá di Brescia

Contact

Telephone

work Phone
+49 241 80 22960

E-Mail

 

The goal of the project is the development of a framework for the cross-plant identification of cost-optimal maintenance scenarios in manufacturing companies.

In addition to indicators for reliability, availability and maintainability of wear-prone machine components - such as bearings, guides, ball screws - the operator's requirements - corrective, preventive, predictive maintenance - are linked component specifically via a central database with the planned machine allocation from the ERP system.

Milestones include the development of a model- and signal-based forecasting methodology for estimating the remaining service life of components subject to wear, the implementation of algorithms to minimize total life cycle costs, and the introduction of a cloud-based service platform for exchanging condition-relevant information.