【摘要】 针对传统风机叶片损伤检测中存在的定位不精确且无法在风机运行状态下进行监测的问题，提出了一种新的风机叶片损伤检测方法。该方法采用光频域反射（OFDR）技术对不同风况下风机叶片表面的应变进行测量，对应变值进行快速傅里叶变换并取其基频幅值获得叶片表面的应变分布，据此计算出叶片损伤的位置、长度和宽度，再根据应变大小与损伤程度的关系拟合出损伤程度判断公式，并据此识别叶片损伤程度。设计了基于OFDR的悬臂梁损伤检测实验，模拟了悬臂梁振动时的瞬时状态，根据应变分布识别出损伤的位置，验证了所提损伤识别方法的可行性。更多还原

【Abstract】 A new wind turbine blade damage detection method is proposed to address the challenges surrounding imprecise positioning and the inability to monitor the turbine under operating conditions, which is a shortcoming of traditional wind turbine blade damage detection. The proposed method uses optical frequency domain reflectometry(OFDR) to measure the surface strain of the wind turbine blade. Subsequently, fast Fourier transform is taken for the strain value and its fundamental frequency amplitude is taken to obtain the blade surface strain distribution. On this basis,the position, length and width of the blade damage are calculated. According to the relationship between the strain and damage degree, the damage degree judgment formula is fitted, and the blade damage degree is identified. Based on OFDR, a cantilever beam damage detection experiment is designed to simulate the instantaneous state of the cantilever beam vibration, and the damage location is identified according to the strain distribution, which verifies the feasibility of the proposed damage identification method.更多还原