Autonomous monitoring of wind turbines based on advanced computing methods
Event details
| Date | 19.01.2010 |
| Hour | 10:30 |
| Speaker | Dr. Kay Smarsly |
| Location |
GC G1 515
|
| Category | Conferences - Seminars |
Duration : 40 min
Due to increasing numbers of wind turbines, the accurate assessment of the lifespan of their structural parts and the entire system is becoming more and more paramount. Lifespan- oriented design, inspections and remedial maintenance are challenging because of their complex dynamic behavior. Wind turbines are subjected to stochastic turbulent wind loading causing corresponding stochastic structural response and vibrations associated with an extreme number of stress cycles (up to 109 according to the rotation of the blades). Currently, wind turbines are constructed for a service life of about 20 years. However, this estimation is more or less made by rule of thumb and not backed by profound scientific analyses or accurate simulations. By contrast, modern structural health monitoring systems allow an improved identification of deteriorations and, thereupon, to drastically advance the lifespan assessment of wind turbines. In particular, novel monitoring systems based on Artificial Intelligence techniques represent a promising approach towards cost-efficient and reliable real-time monitoring. After providing an overview on current research activities at the Institute for Computing in Engineering (ICE) at the Ruhr-University Bochum, this talk introduces a decentralized structural health monitoring concept based on advanced computing methods and engineering techniques synergistically coupling, e.g., multi-agent technology, web services, numerical modeling, distributed sensing networks and boundary layer wind tunnel experiments. Currently, this concept is turned into a real-world monitoring system developed at the ICE. Primarily, the agent-oriented aspects, i.e. agent-based analysis, design and implementation, as well as the application of the monitoring approach are addressed, focusing on real-time monitoring tasks in the deserved detail.
Practical information
- General public
- Free
Contact
- Nizar Bel Hadj Ali