PROGnostics based Reliability Analysis for Maintenance Scheduling

Key Info

Basic Information

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:
Closed

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.