Analysis Method for Under-sampled Blade Tip-timing Signal Based on the Rotational Invariance Technique with Total Least Squares Principle

doi:10.3901/JME.2019.19.103

Abstract

Abstract: Considering the traditional strain test method cannot measure all the blades vibration information at the same time and it may also bring some hidden danger for the normal operation of the rotating blade, blade tip-timing (BTT) technique is used to monitor the vibrating blades. However, as BTT method can just obtain under-sampled signal and the sampled signal will also be interfered by noise in practice, traditional Fourier transform is not enough for the extraction of blades original vibration frequency. Therefore, the rotational invariance technique (Esprit) with total least squares (TLS) principle is studied to estimate the original frequency information from the under-sampled signal with strong noise interference. The estimated frequency information will be further used as priori knowledge for the tip-timing signal reconstruction with interpolation function. Both simulation and experiment signal are used to verify the effectiveness of the proposed method, and the result shows the proposed method is useful for the frequency analysis of under-sampled BTT signal with noise interference demonstrating its great value in engineering application.

Key words: blade tip-timing, under-sampled, TLS-Esprit, signal reconstruction, blade vibration

CLC Number:

TG156

HE Changbo, LI Hongkun, ZHAO Xinwei, WANG Weimin, WU Shuming. Analysis Method for Under-sampled Blade Tip-timing Signal Based on the Rotational Invariance Technique with Total Least Squares Principle[J]. Journal of Mechanical Engineering, 2019, 55(19): 103-111.

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