Effect of sensor angle deviation on fan/compressor azimuthal mode recognition,
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摘要: 基于任意角度压缩感知(CS)方法分析了传感器安装角度偏差对风扇/压气机周向模态识别重构的影响,设计了一套自适应角度优化程序修正重构误差。利用数值试验探究了传感器角度偏差和数量对周向模态重构结果的影响,研究表明:当角度偏差等级为2.5%时,平均重构误差达到10%以上,若保证重构误差基本不变,将传感器数量从7个增加至25个,仅可以将角度偏差等级放宽至4%。而采用小生境微种群遗传算法进行自适应角度优化,在20 dB信噪比下,通过自适应角度优化可将角度偏差等级从2.5%放宽至10%,降低了传感器安装的精度要求。成功优化了一款冷却风扇在前三阶叶片通过频率下的主要周向声模态重构幅值。自适应角度优化算法有效提升了基于压缩感知的风扇/压气机周向模态重构可靠性。
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关键词:
- 角度偏差 /
- 周向模态 /
- 压缩感知 /
- 重构误差 /
- 小生境微种群遗传算法
Abstract: Based on the arbitrary angle compressive sensing (CS) method, the influence of sensor installation angle deviation on the fan/compressor azimuthal mode recognition was analyzed, and an adaptive angle optimization program was designed to correct the reconstruction error. The influence of angle deviation and number of sensors on the results of azimuthal mode reconstruction was investigated by numerical experiments. When the angle deviation level was 2.5%, the average reconstruction error was more than 10%. If the reconstruction error was basically unchanged, and the number of sensors increased from 7 to 25, the angle deviation level can only be expanded to 4%. The niching micro genetic algorithm was used for adaptive angle optimization. Under 20 dB signal-to-noise ratio, the angle deviation level can be expanded from 2.5% to 10% through adaptive angle optimization, which reduced the accuracy requirements for sensor installation. The reconstructed amplitude of the main azimuthal acoustic mode at the first three-order blade passing frequency of a cooling fan was optimized. It was shown that the adaptive angle optimization method can effectively improve the reliability of fan/compressor azimuthal mode reconstruction based on CS. -
[1] ENVIA E.Fan noise reduction:an overview[J].International Journal of Aeroacoustics,2002,1(1):43-64. [2] PICKETT G F,SOFRIN T G,WELLS R W.Method of fan sound mode structure determination:final report[R].NASA CR-135293,1977. [3] TYLER J M,SOFRIN T G.Axial flow compressor noise studies[J].Transactions of the Society of Automotive Engineers,1962,70:309-332. [4] SCHUSTER B.Axial fan tone noise induced by separated tip flow,flutter,and forced response[R].AIAA 2005-2876,2005. [5] RADEMAKER E R,SIJTSMA P,TESTER B J.Mode detection with an optimised array in a model turbofan engine intake at varying shaft speeds[R].AIAA 2001-2181,2001. [6] 王良锋,乔渭阳,纪良,等.轴流风扇/压气机管道周向声模态的测量[J].航空动力学报,2014,29(4):917-926. WANG Liangfeng,QIAO Weiyang,JI Liang,et al.In-duct circumferential acoustic mode measurement of axial fan/compressor[J].Journal of Aerospace Power,2014,29(4):917-926.(in Chinese) [7] HALL D,HEIDELBERG L,KONNO K.Acoustic mode measurements in the inlet of a model turbofan using a continuously rotating rake-data collection/analysis techniques[R].AIAA-93-0599,1993. [8] SUTLIFF D,KONNO K,HEIDELBERG L.Duct mode measurements on the TFE731-60 full scale engine[R].AIAA 2002-2564,2002. [9] CANDES E J,TAO T.Near-optimal signal recovery from random projections:universal encoding strategies?[J].IEEE Transactions on Information Theory,2006,52(12):5406-5425. [10] DONOHO D L.Compressed sensing[J].IEEE Transactions on Information Theory,2006,52(4):1289-1306. [11] HUANG Xun.Compressive sensing and reconstruction in measurements with an aerospace application[J].AIAA Journal,2013,51(4):1011-1016. [12] YU Wenjun,HUANG Xun.Compressive sensing based spinning mode detections by in-duct microphone arrays[J].Measurement Science and Technology,2016,27(5):055901.1-055901.8. [13] BU Huanxian,HUANG Xun,ZHANG Xin.A compressive-sensing-based method for radial mode analysis of aeroengine fan noise[J].Journal of Sound and Vibration,2020,464:114930.1-114930.20. [14] 肖志成,田杰,欧阳华,等.压缩感知在轴流压气机周向模态识别中的应用[J].航空动力学报,2019,34(1):156-167. XIAO Zhicheng,TIAN Jie,OUYANG Hua,et al.Application of compressed sensing in circumferential modal identification of axial compressor[J].Journal of Aerospace Power,2019,34(1):156-167.(in Chinese) [15] BEHN M,KISLER R,TAPKEN U.Efficient azimuthal mode analysis using compressed sensing[R].AIAA 2016-3038,2016. [16] TAPKEN U,BAUERS R,NEUHAUS L,et al.A new modular fan rig noise test and radial mode detection capability[R].AIAA 2011-2897,2011. [17] YU Wenjun,MA Zhengyu,LAU A S H,et al.Analysis and experiment of the compressive sensing approach for duct mode detection[J].AIAA Journal,2018,56(2):648-657. [18] MORSE P M,INGARD U K.Theoretical acoustic[M].New York:McGraw-Hill Book Company,1968. [19] 张效溥,田杰,欧阳华,等.基于任意传感器排布的叶尖定时信号压缩感知辨识方法[J].航空动力学报,2020,35(1):41-51. ZHANG Xiaopu,TIAN Jie,OUYANG Hua,et al.Compressive sensing identification method of blade tip timing signals based on arbitrary sensor arrangement[J].Journal of Aerospace Power,2020,35(1):41-51.(in Chinese) [20] 王红涛.汽轮机低压排汽系统内部流动及其气动优化设计研究[D].上海:上海交通大学,2011. WANG Hongtao.Investigation on internal flow field and aerodynamic optimization of steam turbine low pressure exhausthood[D].Shanghai:Shanghai Jiao Tong University,2011.(in Chinese) [21] 孙宗翰,田杰,欧阳华,等.电子器件散热风扇气动噪声管道声学模态截止控制技术[J].应用声学,2020,39(2):189-198.
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