Welcome to Reliability and Risk Analysis of Wind Turbines


Description: Reliability is a very important issue for wind turbines. Reliability is important both for estimating failure rates and probabilities for different components and members in structures, and for planning optimal operation and maintenance. In traditional deterministic code-based design the structural costs are influenced by the value of the safety factors. These reflect the uncertainty related to the design parameters. Improved design with a consistent reliability level for all components can be obtained by use of probabilistic reliability-based design methods, where explicit account of uncertainties related to loads, material strength, and calculation methods is made.

The course will include the following topics:

  • Introduction to risk and reliability analysis
  • Stochastic modeling of uncertainties and failure rates, incl. Bayesian techniques
  • Reliability analysis of electrical and mechanical components
  • Reliability analysis of structural members by FORM/SORM and simulation methods
  • Reliability assessment using theoretical models in combination with information from tests
  • Methods for reliability analysis of wind turbines

Prerequisites: Basic knowledge on probability theory and statistics.

Organizer: Professor John Dalsgaard Sørensen, email: jds@civil.aau.dk

Lecturers: Professor John Dalsgaard Sørensen and Postdoc Jannie Sønderkær Nielsen


Time: 6-8 March 2017

Place: Department of Civil Engineering, Aalborg University, Thomas Manns Vej 23

Zip code: 9220

City: Aalborg Ø

Number of seats: 20

Deadline: 13 February 2017


Important information concerning PhD courses We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 5,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately three months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.