可再生能源2025，Vol.43Issue(3)：333-338,6.
基于脉冲红外热像技术的叶片缺陷识别
The defect of wind turbine blade based on pulse infrared thermography method
摘要
Abstract
For the identification of wind turbine blade defect types.First,a physical models of thermal reflection coefficients of the defect were established.A new identification method of wind turbine blade defects based on the combination of thermal signal reconstruction technology and thermal reflection coefficient of defective materials was proposed.Then,the wind turbine blades specimen containing(bubble,impurity,wrinkle)was performed by the long-pulse infrared thermogaphy technology.The experiments were subjected to non-destructive testing for two heating times.It is found from the experiments results that the defects of wind turbine blade specimen could identify by long-pulse infrared thermal imaging technology at temperature cooling process.Experiments have proved that the physical models of the thermal reflection coefficient are feasible.The error between the test results and the prediction results is very small.关键词
长脉冲红外热像技术/缺陷识别/热反射系数/热像信号重建技术Key words
long pulse infrared thermogaphy technology/defect type/thermal reflection coefficient/thermal signal reconstruction technology分类
能源科技引用本文复制引用
王琳琳,陈长征,周勃,康爽..基于脉冲红外热像技术的叶片缺陷识别[J].可再生能源,2025,43(3):333-338,6.基金项目
国家自然科学基金项目(51675350) （51675350）
辽宁省教育厅基本科研项目(JYTMS20230152). （JYTMS20230152）
