Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
709577 | IFAC Proceedings Volumes | 2012 | 6 Pages |
Abstract
In this paper some newly published methods for fault detection and isolation developed for a wind turbine benchmark model are tested, compared and evaluated. These methods have been presented as a part of an international competition. The tested methods cover different types of fault detection and isolation methods, which include support vector machines, observer based methods, and auto generated methods. All of these methods show interesting potentials for usage in the wind turbine application, but all with different strong and weak sides in relation to the requirements specified in the proposed benchmark model.
Related Topics
Physical Sciences and Engineering
Engineering
Computational Mechanics
Authors
Peter Fogh Odgaard, Jakob Stoustrup,