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Multi-scale monitoring of wind energy plants based on agent technology
Publikationstyp
Conference Paper
Date Issued
2009-09
Sprache
English
Author(s)
Volume
2
Start Page
1629
End Page
1638
Citation
Structural Health Monitoring 2009: From System Integration to Autonomous Systems - Proceedings of the 7th International Workshop on Structural Health Monitoring, IWSHM 2009 2: 1629-1638 (2009-01-01)
Contribution to Conference
Scopus ID
Publisher
DEStech Publ.
ISBN of container
978-1-60595-007-5
Due to the recent energy crisis and climate change, clean energy and renewable energy sources gain much attention. In this context, the wind energy sector has rapidly matured during the past years, providing a clean and reliable technology. Increasingly being applied for electricity generation, state-of-the-art wind energy plants have substantially increased in size and in performance. As a consequence, periodic inspections of these structures as well as continuous monitoring by means of reliable structural health monitoring systems become more and more important. Modern wind energy plant monitoring systems allow an accurate identification of deteriorations at an early stage and a precise assessment of the service life. Moreover, through permanent acquisition and automated interrogation of structural and environmental data, the down time can significantly be lowered. Also, maintenance and operating costs can largely be reduced. In particular, monitoring systems based on artificial intelligence techniques represent a promising approach towards cost-efficient and reliable real-time monitoring. To this end, applying agent technology provides an effective decomposition of the total monitoring problem and an autonomous processing of monitoring tasks by cooperating software agents. This contribution addresses a new multi-scale approach towards monitoring of wind energy plants based on agent technology. Thereby, agent-based development, implementation and application of the monitoring system are elucidated, focusing on the "data conversion" monitoring task as an example in more detail.
DDC Class
004: Informatik
600: Technik