- Montanuniversität Leoben, Lehrstuhl wBw
- Software Competence Center Hagenberg
- Messfeld GmbH
- BMW Motoren GmbH
- BRP Powertrain GmbH & Co KG
In the "Smart Maintenance" project a resource-intelligent, anticipative maintenance is developed by condition monitoring, data analysis and fault forecasting in the production systems of the industrial partners, and is embedded in the maintenance strategy determination.
New and well-known condition monitoring technologies are being tested for their techno-economic suitability. In addition, a disturbance prognosis model is developed from the production-related data. By researching the manufacturing systems of the industrial partners, they benefit directly from the results. The scientific community benefits from the publication of the findings in numerous publications.
The multi-year research project "Smart Maintenance" is funded by FFG as part of the FTI (research, technology, innovation) initiative "Production of the Future", which is devoted primarily to the central questions of the goods-producing industry. The project aims at the development of a resource-efficient maintenance approach. In combination with mathematical, data- and knowledge-based, technological and economic methods, a model for improved maintenance strategy is developed. The main focus is the investigation of methods for improving the determinability of the failure behavior of asset components.
In addition to the technical realization possibilities using the example of real production systems, the economic benefits of these newly developed methods are also examined and evaluated. The result for the industrial user is the increase in the availability and reliability of production plants as well as lower maintenance costs.
Dipl.-Ing. Theresa PASSATH | +43 (0) 3842 402 6013 | firstname.lastname@example.org