风机叶片在长期运行和恶劣环境等因素的影响下，很容易出现损伤或故障。利用振动传递率函数针对风机叶片开展了损伤识别研究。介绍了基于振动传递率函数的损伤识别理论，并提出采用信号相干性来确定传递率损伤指标计算频率范围的方法。基于Workbench平台对不同位置单损伤、多损伤以及单处不同损伤程度的工况进行数值模拟，分析频段选择和测点布置对损伤识别效果的影响，并结合风机叶片模型试验验证所提出方法的可行性。结果表明，该方法可以对风机叶片的损伤进行有效识别、定位和评估，特别是采用基于信号相干性确定的高相干频段作为计算频段时，对局部损伤识别效果更佳。

Wind turbine blades(WTBs) are prone to damage or failure under the influence of factors such as long-term operation and harsh environments. Damage identification of WTBs was studied using vibration transmissibility functions. The theory of damage identification based on vibration transmissibility function was introduced, and the method of using signal coherence to determine the frequency range for calculating the damage index of transmissibility was proposed. Using the Workbench platform, numerical simulations of WTBs were conducted to analyze single and multiple damages at various locations and severity levels. The effects of frequency band selection and sensor placement on damage detection capabilities were evaluated. Experimental modal tests on blade models verified the feasibility and effectiveness of the proposed damage identification methodology. The results show that this method can effectively identify, locate, and assess WTBs' damage. The use of frequency bands with high signal coherence, identified based on coherence analysis, resulted in enhanced detection of localized damage.