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SUMMARY:Autonomous monitoring of wind turbines based on advanced computing
  methods
DTSTART:20100119T103000
DTSTAMP:20260916T050606Z
UID:06831a5861d8ce5d86b1a56895168095072a82caeb60fc9aa643f87a
CATEGORIES:Conferences - Seminars
DESCRIPTION:Dr. Kay Smarsly\nDuration : 40 min\n\nDue to increasing number
 s of wind turbines\, the accurate assessment of the lifespan of their stru
 ctural parts and the entire system is becoming more and more paramount. Li
 fespan- oriented design\, inspections and remedial maintenance are challen
 ging because of their complex dynamic behavior. Wind turbines are subjecte
 d to stochastic turbulent wind loading causing corresponding stochastic st
 ructural response and vibrations associated with an extreme number of stre
 ss cycles (up to 109 according to the rotation of the blades). Currently\,
  wind turbines are constructed for a service life of about 20 years. Howev
 er\, this estimation is more or less made by rule of thumb and not backed 
 by profound scientific analyses or accurate simulations. By contrast\, mod
 ern structural health monitoring systems allow an improved identification 
 of deteriorations and\, thereupon\, to drastically advance the lifespan as
 sessment of wind turbines. In particular\, novel monitoring systems based 
 on Artificial Intelligence techniques represent a promising approach towar
 ds cost-efficient and reliable real-time monitoring. After providing an ov
 erview on current research activities at the Institute for Computing in En
 gineering (ICE) at the Ruhr-University Bochum\, this talk introduces a dec
 entralized structural health monitoring concept based on advanced computin
 g methods and engineering techniques synergistically coupling\, e.g.\, mul
 ti-agent technology\, web services\, numerical modeling\, distributed sens
 ing 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\, des
 ign and implementation\, as well as the application of the monitoring appr
 oach are addressed\, focusing on real-time monitoring tasks in the deserve
 d detail.
LOCATION:GC G1 515
STATUS:CONFIRMED
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