Asynchronous vibration parameters identification algorithm for rotating blades based on engine order search-MUSIC

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Journal of Vibration and Shock ›› 2025, Vol. 44 ›› Issue (10) : 261-268.

FAULT DIAGNOSIS ANALYSIS

Asynchronous vibration parameters identification algorithm for rotating blades based on engine order search-MUSIC

FAN Zhenfang*1, HUANG Jinying1, LIU Siyuan2, WEI Jiaolin1

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Abstract

Blade tip timing (BTT) technology is currently the trend in condition monitoring and fault diagnosis of rotating blades in major equipment. Nonetheless, the BTT technique, with characteristics of non-uniformity and under-sampling, presents challenges in identifying the blade vibration parameters. To address the issue of asynchronous vibration parameter identification in rotating blades, this paper initially utilizes the fast Fourier transform (FFT) algorithm to extract the non-integer engine order and the amplitude of blade asynchronous vibration frequency. Subsequently, an improved multiple signal classification (MUSIC) algorithm is employed to propose an integer engine order search strategy for blade asynchronous vibration frequency based on MUSIC algorithm (EOS-MUSIC). Finally, this study proposes an asynchronous vibration parameter identification algorithm of rotating blades based on the EOS-MUSIC algorithm and the FFT algorithm. The MATLAB software was utilized for simulating the signals of blade asynchronous vibration, and the feasibility and reliability of the proposed algorithm were validated by comparison with the existing MUSIC algorithm. Experiments on impeller blade vibration were conducted on a large-scale centrifugal compressor test rig. The absolute error of the frequency identification was 3.36Hz, and the relative error was only 0.53% compared with the results of the strain gauge method. Based on the preprocessing of FFT algorithm, this paper extracts the blade asynchronous vibration parameters by engine order search, which overcomes the problems of long calculation period and severe identification errors of the existing MUSIC algorithm. This study provides theoretical support for the asynchronous vibration parameters identification of rotating blades.

Key words

blade tip timing / blade asynchronous vibration / engine order search / parameters identification

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FAN Zhenfang1, HUANG Jinying1, LIU Siyuan2, WEI Jiaolin1. Asynchronous vibration parameters identification algorithm for rotating blades based on engine order search-MUSIC[J]. Journal of Vibration and Shock, 2025, 44(10): 261-268

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