Operational modal analysis and wavelet transformation for damage identification in wind turbine blades

This study demonstrates an application of a previously proposed modal and wavelet analysis-based damage identification method to a wind turbine blade. A trailing edge debonding was introduced to an SSP 34-m blade mounted on a test rig. Operational modal analysis was conducted to obtain mode shapes for undamaged and damaged states of the blade. Subsequently, the mode shapes were analyzed with one-dimensional continuous wavelet transformations for damage identification. The basic idea of the method is that structural damage will introduce local mode shape irregularities which are captured in the continuous wavelet transformation by significantly magnified transform coefficients, thus providing combined damage detection, localization, and size assessment. It was found that due to the nature of the proposed method, the value of the identification results highly depends on the number of employed measurement points. Since a limited number of measurement points were utilized in the experiments, only certain damage-sensitive modes, in which pronounced damage-induced mode shape changes occur, are applicable for valid identification of the damage.

[1]  Mark A. Rumsey,et al.  Structural health monitoring of wind turbine blades , 2008, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

[2]  Marek Krawczuk,et al.  Damage detection in turbine wind blades by vibration based methods , 2009 .

[3]  M. Cao,et al.  Damage identification for beams in noisy conditions based on Teager energy operator-wavelet transform modal curvature , 2014 .

[4]  Maosen Cao,et al.  A multi-scale pseudo-force model in wavelet domain for identification of damage in structural components , 2012 .

[5]  Matthew S. Allen,et al.  Modal Analysis of Rotating Wind Turbine Using Multiblade Coordinate Transformation and Harmonic Power Spectrum , 2014 .

[6]  S. Loutridis,et al.  CRACK IDENTIFICATION IN BEAMS USING WAVELET ANALYSIS , 2003 .

[7]  M.T. Iqbal,et al.  Reliability and condition monitoring of a wind turbine , 2005, Canadian Conference on Electrical and Computer Engineering, 2005..

[8]  Leontios J. Hadjileontiadis,et al.  A two-dimensional wavelet transform for detection of cracks in plates , 2005 .

[9]  Rune Brincker,et al.  Vibration Based Inspection of Civil Engineering Structures , 1993 .

[10]  O. S. Salawu Detection of structural damage through changes in frequency: a review , 1997 .

[11]  Jung-Ryul Lee,et al.  Structural health monitoring for a wind turbine system: a review of damage detection methods , 2008 .

[12]  Krzysztof Wilde,et al.  Application of continuous wavelet transform in vibration based damage detection method for beams and plates , 2006 .

[13]  Gunner Chr. Larsen,et al.  Comparative study of OMA applied to experimental and simulated data from an operating Vestas V27 wind turbine , 2015 .

[14]  Dmitri Tcherniak,et al.  Application of OMA to an Operating Wind Turbine: now including Vibration Data from the Blades , 2013 .