Detection and Damage Diagnosis for Wind Turbine Blades based on the Theory of Length Fractal Dimension on Dynamic Properties
Blades are the key components of large scale wind turbine. It is significant to do the detection and damage diagnosis for it. However, the changing circumstance and variable load always make the blades vibration signal complex. To detect damage information of blade, some dyn parameters are picked up from the signal measured and used as the characteristic. In this paper, a dynamics model of 300w wind turbine has been build in FEM .Via modal analysis and dynamics emulate, obtain dyn properties, get the characteristic frequency, vibration shape and response data. Apply the theory of length fraetal dimension on nonlinear vibration system to calculate the length fractal dimension in the blades normal or damaged situation. The dimension can be used as the surveying characteristic to do the diagnosis .The method presented in this paper provides an academic reference and an example to research the detection and damage diagnosis further for large scale wind turbine blades.
FEM ModalAnalysis Dynamic Properties Damage Diagnosis Length Fractal Dimension
Mei Yuanying Xu Yuxiu Wang Zhiqiang
School of Mechanical & Electric Engineering, Tianjin Polytechnic University Tianjin 300160,Tianjin Key Laboratory of Advanced Mechatronics Equipment Technology, Tianjin Polytechnic University Tianjin 300160: China
国际会议
长沙
英文
1089-1092
2010-03-13（万方平台首次上网日期，不代表论文的发表时间）