PROGnostics based Reliability Analysis for Maintenance Scheduling
- 01.10.2017 to 30.09.2020
- Organizational Unit:
- Chair of Machine Tools, Machine Data Analytics and NC-Technology
- European Commission EC
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
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.