中文摘要：

振动问题一直是限制风机向大型化高参数化方向发展的主要障碍，而叶片振动导致的疲劳断裂故障和事故尤为突出。对风机叶片同步共振进行了研究，提出基于非线性最小二乘拟合和GARIV方法相结合的叶片同步振动的振动参数精确辨识方法，准确捕捉叶片的动态固有频率。基于激光传感器的叶尖定时方法，通过捕捉叶片裂纹早期固有频率的微小变化，实现叶片裂纹故障的早期预警。仿真结果表明，所提出的方法可以达到万分之七的测量精度，实验研究结果表明，本文所提出的方法可以进行叶片裂纹的早期识别。

英文摘要：

Vibration has always been a major obstacle in the development of enlarged and high-parametric rotatingequipment.Blade vibration is the main reason of fatigue failure and rotating machine accidents.In this paper,the synchronousresonance of blades is studied with the combination of the nonlinear least squares fitting and the GARIV method to accuratelycapture the dynamic eigen frequency of the blade.An early warning for blade crack failures is realized by using the blade tiptiming(BTT)method of laser sensors,which captures the small changes of the eigen frequency due to an appearing bladecrack.The simulation results show the measurement accuracy of the proposed method can achieve0.7‰.Thus,it can be usedin the early identification of blade cracks,which is confirmed by experimental results.