| Citation: | PING Yan, WANG Zengkun, FAN Zhifei, et al. Identification of compressor surge based on blade tip timing in frequency domain[J]. Journal of Aerospace Power, 2025, 40（10）：20240476 doi: 10.13224/j.cnki.jasp.20240476
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An amplitude-identified multiple signal classification (MUSIC) algorithm for blade tip timing (BTT) signals of rotor blades was proposed for identifying surge characteristics of compressors. By analyzing the real-valued sinusoidal signal model of BTT, the relationship between the amplitude and frequency of asynchronous vibrations and the eigenvalues and eigenvectors of the autocorrelation matrix was explored, allowing for compensation of the amplitude of the pseudo-spectrum within the framework of the MUSIC algorithm. The experiment of rotor surge identification using BTT technique was conducted. By comparing with fast Fourier transform and the least squares fitting method, the effectiveness of proposed method was verified. The results indicated that surge faults exhibited a significant increase in vibration displacement and speed fluctuation in the time domain. In the frequency domain, surge faults exhibited low-frequency asynchronous vibration with large amplitude. Compared with Fourier transform and least squares fitting, the proposed method can accurately identify the surge characteristic frequency of 5.3 Hz, and the focusing capability of its amplitude identification was more than three times that of the Fourier transform. The proposed method with higher frequency resolution and amplitude recognition accuracy can effectively extract the characteristics of surge faults in the frequency domain.
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