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• W4311403288 endingPage "112280" @default.
• W4311403288 startingPage "112280" @default.
• W4311403288 abstract "The identification of rotating blade vibration parameters is crucial for diagnosing the health of the blades. While there are many rotating blade vibration measurement techniques, the tip timing vibration theory is currently used by most for non-contact rotating blade vibration measurements, which presents a number of challenges in its practical implementation. However, the traditional blade tip timing vibration measurement method is less involved in the calculation of vibration displacement and vibration data pre-processing and the frequency mixing problem brought on by undersampling is not fully analyzed. The majority of methods to increase measurement accuracy are studied in depth in data post-processing. The accuracy of identifying the spinning blade vibration parameters is lowered, and even identification error arises, as a result of measuring noise interference and the impact of frequency overlap. This work adjusts the calculation of blade tip vibration displacement based on the theory of blade tip timing vibration measurement and applies the Savitzky-Golay noise filtering technique to increase calculation accuracy. To combat the effect of frequency confusion brought on by undersampling and increase the precision of asynchronous vibration parameter detection of spinning blades, the synthetic phase difference spectrum correction method is adopted. In the experiments described in this work, a revolving blade is excited by an electromagnetic exciter to create vibrations at a single frequency. To determine the blade asynchronous vibration characteristics at various rotation speeds, rotating blade asynchronous vibration tests were carried out on a rotor blade table. The outcomes demonstrate that the blade asynchronous vibration parameters can be accurately identified using the parameter identification method, and the maximum vibration frequency identification error is 7.2%, demonstrating the accuracy of the blade asynchronous vibration parameter identification method." @default.
• W4311403288 created "2022-12-26" @default.
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• W4311403288 date "2023-01-01" @default.
• W4311403288 modified "2023-10-01" @default.
• W4311403288 title "Research on the identification of asynchronous vibration parameters of rotating blades based on blade tip timing vibration measurement theory" @default.
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• W4311403288 doi "https://doi.org/10.1016/j.measurement.2022.112280" @default.
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