Accurate location and degree identification of&nbsp; wind turbine blade cracks based on natural frequency

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Journal of Vibration and Shock ›› 2019, Vol. 38 ›› Issue (24) : 18-27.

Accurate location and degree identification of wind turbine blade cracks based on natural frequency

WU Qiqiang,GUO Shuaiping,WANG Gang,LI Xuejun

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Abstract

The structure health condition of a wind turbine blade is closely related to public safety.Cracks in wind turbine blades affect safe operation of wind turbines.The diagnosis of blade cracks is of paramount importance.The cracks influence the natural frequency of the blades.In wind turbine blades, the natural frequency variation of the structure caused by the crack is related to its position.In terms of the ratio of the adjacent two-order natural frequency variation, it was found that the ratio is related to the crack position alone.Based on the ratio parameters, the blade can be fictitiously divided into multiple connected regions.The crack is implanted at each joint point of regions to establish the database of the ratio parameters for crack locating.The region where the crack exists can be ascertained.Then, a new position parameter in the region was proposed, and the mapping between this parameter and the detail position within the region was established.The crack can be located more accurate in the regions.In order to identify the degree of the crack, a parameter of crack degree, which is defined as the ratio of the variation of the natural frequency to the natural frequency itself, was proposed.Based on simulation and data analysis, the correlation between the parameter and the degree of crack was established.Based on the correlation, the degree of crack can be ascertained by the correlation after crack locating.Numerical simulation analysis and tests for blade with different cross-sectional shapes were performed, and the results all show that the method is effective and accurate.

Key words

wind turbine blade / natural frequency / crack location / damage degree

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WU Qiqiang,GUO Shuaiping,WANG Gang,LI Xuejun. Accurate location and degree identification of wind turbine blade cracks based on natural frequency[J]. Journal of Vibration and Shock, 2019, 38(24): 18-27

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