Single-tone Aerodynamic Noise Source Separation for Gas Turbines

• Published in: Journal of sound and vibration Vol. 579; p. 118375
• Main Authors: Cheng, Wei, Song, Chao, Bo, Bicheng, Chen, Shuang, Yang, Mingsui, Wang, Yan, Qiao, Baijie, Chen, Xuefeng, Wang, Jun, Yan, Liqi
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 09.06.2024
• Subjects: Computed order tracking; Filter bandwidth optimization; Single-tone aerodynamic noise; Vold-kalman filter; Vold-kalman filter; Single-tone aerodynamic noise; Computed order tracking; Filter bandwidth optimization
• ISSN: 0022-460X; 1095-8568
• DOI: 10.1016/j.jsv.2024.118375

The aerodynamic noise in the gas turbines primarily originates from the pulsations generated by the air within compressors, and it is a combination of single-tone noise caused by the pressure fluctuation of blades and broadband noise generated by interactions between turbulent fluid and blades. Therefore, the separation of single-tone noise is vital in predicting the contribution of each noise source for noise reduction and health monitoring. In current practice, the Vold-Kalman filter (VKF) is widely employed for single-tone noise separation. However, the optimal VKF bandwidth is often difficult to determine, thereby impeding the separation accuracy of single-tone noise. To solve this problem, this paper proposes a single-tone noise separation method by utilizing computed order tracking based on double criteria VKF (DC-VKF). Firstly, the order spectrum of the original signal is obtained by order analysis. Secondly, the relative error of order amplitude (REOA) and total relative standard deviation (TRSD) of the extracted signal are calculated under different bandwidths and corresponding curves are separately carried out. The optimal bandwidth is determined by identifying the first bandwidth that meets either the REOA or TRSD threshold, which are respectively set based on trend of curves. Finally, the corresponding order components are separated by VKF with optimized bandwidth. The effectiveness of DC-VKF is validated on simulation and gas turbine datasets. This paper provides an efficient extraction method for the separation of single-tone aerodynamic noise of gas turbines, and provides a scientific basis for noise monitoring, evaluation, and reduction. •Single-Tone aerodynamic noise source separation for gas turbines.•Double criteria vold-kalman filter for single-tone noise separation is proposed.•The optimal bandwidth is selected using double criteria of the order spectra.•Double criteria ensure that the optimal bandwidth is closer to the practical value.•The simulation and acoustic measurement data analysis are carefully carried out.