Interfacultative Research Network for Feasibility Study of Integrated and Cost-effective Model for Monitoring of Innovative Energy Infrastructures
- Category: Research project
- Duration: 2015-2016
- Funded by: Research Project Networks
- Project holder: University of Siegen
Regular evaluation of the actual operating condition of energy infrastructures is strongly critical to their functional reliability and cost-effectiveness. Condition based maintenance (CBM) and specifically struc-tural health monitoring (SHM) are aimed at enhancing the monitoring and proactive maintenance of infrastructures, i.e. continuous or periodic monitoring of the state of structures and functional parame-ters in an automated way. The monitoring is conducted via direct measurements using sensors and condition-monitoring /SHM systems as well as inspection, test and/or analysis on the basis of continuous or regular intervals. Condition and health monitoring systems, thus, collect a substantial amount of data and uses the appropriate data processing and interpretation algorithms to evaluate "as-is" state of the infrastructures and predict the future (expected) states.
The purpose of establishing the interdisciplinary research project, MikE, is to collaborate on three fun-damental issues:
- Identification and investigation of SHM algorithms to create a concept of the knowledge-based analysis, and interpretation of SHM data based on real data of the experimental wind turbine.
- Development of a concept for cost-based analysis of condition monitoring data.
- Integration of technical and management concepts to optimize maintenance costs and support decision-making in management of energy infrastructures.