State Characteristic Parameters Extraction Method of Wind Turbine Blades Based on the Length Fractal Dimension

Abstract:

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According to characteristic of wind turbine vibration signal, base on the length fractal dimension principle, carry out quantitative description of length fractal characteristics to nonlinear signals on the fault generated by the wind turbine blades. The test and calculation results show that when the different wind turbine blades failures occur, the length fractal dimension value appear clear rules. Therefore, we can use the length fractal dimension effectively extract the fault character parameters of wind turbine blade.

Info:

Periodical:

Advanced Materials Research (Volumes 301-303)

Edited by:

Riza Esa and Yanwen Wu

Pages:

139-142

DOI:

10.4028/www.scientific.net/AMR.301-303.139

Citation:

Y. F. Li et al., "State Characteristic Parameters Extraction Method of Wind Turbine Blades Based on the Length Fractal Dimension", Advanced Materials Research, Vols. 301-303, pp. 139-142, 2011

Online since:

July 2011

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Price:

$35.00

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