Digital signal process of low turbulence intensity based on EMD
-
摘要: 采用热线风速仪在3座典型低速风洞中进行了流场湍流度测量,这3座低速风洞包括1个低湍流风洞、1个常规闭口风洞和1个开口射流风洞。针对湍流信号通常受噪声干扰的问题,在湍流度值处理中引入了经验模式分解(EMD)自适应滤波和HHT时频谱分析方法。将EMD方法与其他几种湍流度值处理方法进行了比较,包括带通滤波方法(BP)、电磁噪声解耦方法(ENC)和高通惯性衰滤波方法(HPIA)。采用EMD方法测得低湍流风洞的湍流度值,在流场速度30~100 m/s的范围内小于0.05%。采用HHT方法完成了脉动速度信号的时频分析,分析发现开口风洞试验段的脉动速度HHT时频谱有突出的低频信号。所构建的EMD自适应滤波器可以有效控制噪声对热线输出信号的影响,是一种有效的低湍流度信号处理方法。Abstract: Hot wire anemometer is used in three typical low speed wind tunnels to measure the flow field turbulence intensity, including a low turbulence wind tunnel, a general closed wind tunnel and an open jet wind tunnel. To deal with the disturbance to the turbulence signal caused by noise, an EMD(Empirical Mode Decomposition) self-adaptive filter and HHT(Hilbert-Huang Transform) time-frequency analysis methodology are introduced in turbulence intensity data processing. The EMD method is compared with several other turbulence intensity processing methods, including BPF(Band Pass Filter), ENC(Electronic Noise Correction) and HPIA(High Pass Inertia Attenuation Filter). Using the EMD filter, the turbulence intensity in the low turbulence wind tunnel test section is measured and found to be less than 0.05% in the flow speed range of 30~100m/s. Using HHT method, we complete the time-frequency analysis of the flow fluctuation signal, and the low frequency flow flucturation signal is found predominatnt in the open jet wind tunnel. The designed EMD self-adaptive filter is effective at controlling the influence of the noise on the hot wire output signal, and therefore it is a practical method for low turbulence intensity signal processing.
-
表 1 3种低速风洞中的能量密度与其平均周期的乘积
Table 1. A list of Em×Tm in the 3 kinds of low speed wind tunnel
风洞类型 R1 R2 R3 R4 R5 R6 R7 R8 R9 R10 R11 R12 R13 R14 R15 R16 低湍流 0.44 0.05 0.10 0.04 0.22 0.21 0.03 0.01 1.05 33.79 37.20 47.05 27.88 27.62 7.76 3.96 常规低速 0.34 0.21 0.03 0.17 0.07 0.01 0.53 0.20 0.50 1.99 16.60 25.63 36.38 11.32 20.11 4.31 开口风洞 0.65 0.25 0.03 0.01 0.02 0.11 0.03 0.20 0.09 0.79 9.01 8.68 451.32 18.75 13.57 19.57 -
[1] 何克敏, 白存儒, 郭渠渝, 等. 较低湍流度范围湍流度对风洞实验结果的影响[J]. 流体力学实验与测量, 1997, 11(3):11-17. http://www.cnki.com.cn/Article/CJFDTOTAL-LTLC199703001.htmHe K M, Bai C R, Guo Q Y, et al. The effect of turbulence on wind tunnel results in the range of low turbulence[J]. Experiments and Measurements in Fluid Mechanics, 1997, 11(3):11-17. http://www.cnki.com.cn/Article/CJFDTOTAL-LTLC199703001.htm [2] 李峰, 白存儒, 周伟, 等. 湍流度对飞行器模型大迎角气动特性影响的初步研究[J]. 实验流体力学, 2006, 20(3):45-52. http://www.syltlx.com/CN/abstract/abstract9492.shtmlLi F, Bai C R, Zhou W, et al. Primal research of the effect of flow turbulence on aerodynamic characteristics of a aircraft model at high angles of attack[J]. Journal of Experiments in Fluid Mechanics, 2006, 20(3):45-52. http://www.syltlx.com/CN/abstract/abstract9492.shtml [3] 米建春, 冯宝平. 平面射流沿轴线的特征尺度及其对测量信号过滤程度的依赖[J]. 物理学报, 2010, 59(7):4748-4755. http://www.cnki.com.cn/Article/CJFDTOTAL-WLXB201007053.htmMi J C, Feng B P. Centerline characteristic scales of a turbulent plane jet and their dependence on filtration of measured signals[J]. Acta Physica Sinica, 2010, 59(7):4748-4755. http://www.cnki.com.cn/Article/CJFDTOTAL-WLXB201007053.htm [4] 侯志勇, 王连泽, 周建和, 等. 低(变)湍流度风洞设计再探讨[J]. 实验流体力学, 2011, 25(1):92-96. http://www.syltlx.com/CN/abstract/abstract10705.shtmlHou Z Y, Wang L Z, Zhou J H, et al. The further research on the design of low (varying) turbulence wind tunnel[J].Journal of Experiments in Fluid Mechanics, 2011, 25(1):92-96. http://www.syltlx.com/CN/abstract/abstract10705.shtml [5] Harald Q, Jürgen Q, Christian B. Hot-Wire measurements in cryogenic environment[R]. AIAA-2011-880. [6] Saric W S, Takagi S, Mousseux M. The ASU unsteady wind tunnel and fundamental requirements for freestream turbulence measurements[R]. AIAA-1988-0053, 1988. [7] Mueller T J, Scharpf D F, Batill S M, et al. The design of a subsonic low-noise, low-turbulence wind tunnel for acoustic measurements[R]. AIAA-1992-3883, 1992. [8] Neuhart Dan H, McGinley Catherine B. Free-stream turbulence intensity in the Langley 14-by 22-foot subsonic tunnel[R]. NASA/TP-2004-213247, 2004. [9] Premi Amandeep, Maughmer Mark D, Brophy Christopher. Flow-quality measurements and qualification of thePennsylvania State University low-Speed, low-Turbulence wind tunnel[R]. AIAA-2012-1214, 2012. [10] Stainback P Calvin, Owen F Kevin. Dynamic flow quality measurements in the Langley low turbulence pressure tunnel[R]. AIAA-1984-0621, 1984. [11] Kohama Y, Kobayashi R, Ito H. Tohoku university low-turbulence wind tunnel[R]. AIAA-1992-3913, 1992. [12] 李士心, 刘鲁源, 舒玮. 子波去噪技术在湍流信号处理中的应用[J]. 实验力学, 2001, 16(4):433-437. http://www.cnki.com.cn/Article/CJFDTOTAL-SYLX200104012.htmLi S X, Liu L Y, Shu W. Turbulent signal processing based on wavelet transform de-noising technique[J]. Journal of Experimental Mechanics, 2001, 16(4):433-437. http://www.cnki.com.cn/Article/CJFDTOTAL-SYLX200104012.htm [13] 朱博, 汤更生. 声学风洞流场低湍流度及频谱测量研究[J]. 实验流体力学, 2015, 29(4):58-64. http://www.syltlx.com/CN/abstract/abstract10860.shtmlZhu B, Tang G S. Low turbulence intensity and spectrum measurement research in aeroacoustic wind tunnel[J]. Journal of Experiments in Fluid Mechanics, 2015, 29(4):58-64. http://www.syltlx.com/CN/abstract/abstract10860.shtml [14] Huang N E, Shen Z, Long S R. The empirical mode decomposition and hilbert spectrum for nonlinear and nonstationary time series analysis[J]. Proceedings of the Royal Society of London SERIESA, 1998, 454:903-995. doi: 10.1098/rspa.1998.0193 [15] 戴吾蛟, 丁晓利, 朱建军, 等. 基于经验模式分解的滤波去噪法及其在GPS多路径效应中的应用[J]. 测绘学报, 2006, 35(11):321-327. http://www.cnki.com.cn/Article/CJFDTOTAL-CHXB200604004.htmDai W J, Ding X L, Zhu J J, et al. EMD filter method and its application in GPS multipath[J]. Acta Geodaetica et Cartographica Sinica, 2006, 35(11):321-327. http://www.cnki.com.cn/Article/CJFDTOTAL-CHXB200604004.htm [16] 楼文娟, 卢旦, 杨毅, 等. 开孔建筑屋盖风振响应中的气动阻尼识别[J]. 空气动力学学报, 2007, 25(4):419-424. http://www.cnki.com.cn/Article/CJFDTOTAL-KQDX200704002.htmLou W J, Lu D, Yang Y, et al. Identification of aerodynamic damping for roof wind induced response of opening building[J]. Acta Aerodynamica Sinica, 2007, 25(4):419-424. http://www.cnki.com.cn/Article/CJFDTOTAL-KQDX200704002.htm [17] Flandrin P, Rilling G. Empirical mode decomposition as filter bank[J]. IEEE Signal Process Letters, 2003, 11:112-114. https://www.researchgate.net/publication/3342944_Empirical_mode_decomposition_as_a_filter_bank?ev=pub_cit [18] 朱博, 王元兴, 余永生. 风洞模型-支撑系统涡激振动测量与分析[J]. 实验流体力学, 2014, 28(5):59-64. http://www.syltlx.com/CN/abstract/abstract10774.shtmlZhu B, Wang Y X, Yu Y S. Vortex-induced vibration measurement and analysis of model-sting system in wind tunnel[J]. Journal of Experiments in Fluid Mechanics, 2014, 28(5):59-64. http://www.syltlx.com/CN/abstract/abstract10774.shtml