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Research on a new technique dedicated for condition monitoring long wind turbine blades

Lookup NU author(s): Dr Wenye Tian, Dr Wenxian YangORCiD, Professor Longbin Tao


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Being expensive in capital cost, difficult to repair and replace, and significant in fault-induced revenue loss, the safe operation of wind turbine (WT) blades via condition monitoring (CM) has been regarded as one of the most effective approaches to lowering the energy cost of wind power. However, the continual scaling up of the size of WT blade is making blade CM more difficult than ever before. The research reported in this paper is just in order to tackle this issue by developing a more reliable blade CM technique with the aid of Finite Element (FE) calculations. To facilitate research, a finite element model of a long WT blade is developed in SolidWorks in order to simulate the dynamic responses of healthy and unhealthy long blades under various wind loading conditions. The corresponding strains distributed on blade surface, bending deflection of the blade, and the bending moment at the root section of the blade under each wind loading condition are calculated and compared, so that a better blade defect indicator can be identified from them. Based on this, an effective blade CM technique is proposed and furthermore, verified by using the calculated blade CM data. It has been proved that the proposed technique is effective not only in detecting the presence of the blade defect but also in defect location and severity assessment despite the variation of external load.

Publication metadata

Author(s): Tian W, Yang W, Lang Z, Tao L, Ng C, McKeever P

Editor(s): EWEA

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: EWEA Offshore 2015

Year of Conference: 2015

Acceptance date: 06/11/2014

Publisher: EWEA