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CRACK PARAMETER IDENTIFICATION USING INVERSE ANALYSIS OF ON-LINE VIBRATION MEASUREMENTS

机译:使用在线振动测量的逆分析裂缝参数识别

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Crack size and location of a slow rotating drum with a transverse crack are estimated using an inverse analysis technique. Crack parameter estimation is achieved by minimizing an error function quantifying the difference of the measured and modeled vibration signal. Vibration measurements are made using eddy-current proximity probes. The modeled vibration signal is the result of a 3D solid Finite Element analysis. Model inputs consist of the applied load, crack size and location. Measured and modeled vibration signals are Fourier transformed and comparison of the Fourier coefficients yields the basis of the error function. The error function is minimized using a quadratic optimization algorithm until the model inputs represent the true crack parameters. A variety of combinations of crack size and location have been investigated. The results show the influence of various error functions and identifies the most important vibration components. For a known crack location the inverse analysis yields an estimated crack size within 10% of the true crack size. For unknown crack location and size the results are a combination of estimated crack size and a probability measure as a function of location. The method has been implemented on a test rotor where the analysis is performed while the rotor is in operation.
机译:使用逆分析技术估计具有横向裂缝的缓慢旋转鼓的裂缝尺寸和位置。通过最小化量化测量和建模振动信号差异的误差函数来实现裂缝参数估计。使用涡流接近探针进行振动测量。建模的振动信号是3D实体有限元分析的结果。模型输入包括施加的负载,裂缝尺寸和位置。测量和建模的振动信号是傅里叶变换,并且傅立叶系数的比较产生误差功能的基础。使用二次优化算法最小化误差函数,直到模型输入表示真正的裂缝参数。已经研究了各种裂缝尺寸和位置的组合。结果显示各种误差功能的影响并识别最重要的振动分量。对于已知的裂缝位置,逆分析产生估计的裂缝尺寸,以内的10%在真实裂缝尺寸的10%以内。对于未知的裂缝位置和尺寸,结果是估计裂缝尺寸的组合和作为位置的函数的概率措施。该方法已经在测试转子上实现,其中在转子操作时执行分析。

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