Citation: | XIE T,XIONG H,PENG B,et al. Ice cloud parameter identification method in icing wind tunnel based on multimodal fusion[J]. Journal of Experiments in Fluid Mechanics, 2022,36(X):1-8. doi: 10.11729/syltlx20220077 |
[1] |
郭向东,张平涛,赵照,等. 大型结冰风洞云雾场适航应用符合性验证[J]. 航空学报,2020,41(10):123879. doi: 10.7527/S1000-6893.2020.23879
GUO X D,ZHANG P T,ZHAO Z,et al. Airworthiness application compliance verification of cloud flowfield in large icing wind tunnel[J]. Acta Aeronautica et Astronautica Sinica,2020,41(10):123879. doi: 10.7527/S1000-6893.2020.23879
|
[2] |
战培国. 结冰风洞校准标准研究[J]. 标准科学,2020(5):87-90. doi: 10.3969/j.issn.1674-5698.2020.05.014
ZHAN P G. Research on standards of icing wind tunnel calibration[J]. Standard Science,2020(5):87-90. doi: 10.3969/j.issn.1674-5698.2020.05.014
|
[3] |
周靓,战培国,王梓旭. 结冰风洞云雾场校准标准初探[J]. 标准科学,2020(9):94-98. doi: 10.3969/j.issn.1674-5698.2020.09.019
ZHOU L,ZHAN P G,WANG Z X. Preliminary study on calibration standard of cloud field in icing wind tunnel[J]. Standard Science,2020(9):94-98. doi: 10.3969/j.issn.1674-5698.2020.09.019
|
[4] |
易贤,桂业伟,肖春华,等. 结冰风洞液态水含量测量方法研究[J]. 科技导报,2009,27(21):86-90. doi: 10.3321/j.issn:1000-7857.2009.21.018
YI X,GUI Y W,XIAO C H,et al. A method of liquid water content measurement in icing wind tunnel[J]. Science & Technology Review,2009,27(21):86-90. doi: 10.3321/j.issn:1000-7857.2009.21.018
|
[5] |
赖庆仁,郭龙,李明,等. 结冰风洞液态水含量测量装置设计与实现[J]. 空气动力学学报,2016,34(6):750-755. doi: 10.7638/kqdlxxb-2015.0137
LAI Q R,GUO L,LI M,et al. Design and implementation of the device for liquid water content measurement in icing wind tunnel[J]. Acta Aerodynamica Sinica,2016,34(6):750-755. doi: 10.7638/kqdlxxb-2015.0137
|
[6] |
战培国. 结冰云小水滴粒径测量设备综述[J]. 测控技术,2020,39(6):1-7. doi: 10.19708/j.ckjs.2020.04.217
ZHAN P G. Review of measuring instruments for water droplet sizing in icing clouds[J]. Measurement & Control Technology,2020,39(6):1-7. doi: 10.19708/j.ckjs.2020.04.217
|
[7] |
HOVENAC E, IDE R. Performance of the forward scattering spectrometer probe in NASA's Icing Research Tunnel[C]// Proc of the 27th Aerospace Sciences Meeting. 1989: 769. doi: 10.2514/6.1989-769
|
[8] |
VECCHIONE L, DE MATTEIS P. An overview of the CIRA icing wind tunnel[C]//Proc of the 41st Aerospace Sciences Meeting and Exhibit. 2003: 900. doi: 10.2514/6.2003-900
|
[9] |
王梓旭,沈浩,郭龙,等. 3 m×2 m结冰风洞云雾参数校测方法[J]. 实验流体力学,2018,32(2):61-67. doi: 10.11729/syltlx20170163
WANG Z X,SHEN H,GUO L,et al. Cloud calibration method of 3 m×2 m icing wind tunnel[J]. Journal of Experiments in Fluid Mechanics,2018,32(2):61-67. doi: 10.11729/syltlx20170163
|
[10] |
AC-9C Aircraft Icing Technology Committee. Calibration and acceptance of icing wind tunnels[R/OL]. SAE International[2022-06-24]. https://www.sae.org/content/arp5905. doi: 10.4271/ARP5905
|
[11] |
何俊,张彩庆,李小珍,等. 面向深度学习的多模态融合技术研究综述[J]. 计算机工程,2020,46(5):1-11. doi: 10.19678/j.issn.1000-3428.0057370
HE J,ZHANG C Q,LI X Z,et al. Survey of research on multimodal fusion technology for deep learning[J]. Computer Engineering,2020,46(5):1-11. doi: 10.19678/j.issn.1000-3428.0057370
|
[12] |
易贤,王强,柴聪聪,等. 基于深度神经网络的飞机结冰冰形预测模型[J]. 南京航空航天大学学报(英文版),2021,38(4):535-544. doi: 10.16356/j.1005-1120.2021.04.001
YI X,WANG Q,CHAI C C,et al. Prediction model of aircraft icing based on deep neural network[J]. Transactions of Nanjing University of Aeronautics and Astronautics,2021,38(4):535-544. doi: 10.16356/j.1005-1120.2021.04.001
|
[13] |
易贤,朱国林,王开春,等. 翼型积冰的数值模拟[J]. 空气动力学学报,2002,20(4):428-433. doi: 10.3969/j.issn.0258-1825.2002.04.009
YI X,ZHU G L,WANG K C,et al. Numerically simulating of ice accretion on airfoil[J]. Acta Aerodynamica Sinica,2002,20(4):428-433. doi: 10.3969/j.issn.0258-1825.2002.04.009
|
[14] |
柴聪聪,王强,易贤,等. 基于卷积神经网络的结冰翼型气动参数预测[J]. 飞行力学,2021,39(5):13-18. doi: 10.13645/j.cnki.f.d.20210811.001
CHAI C C,WANG Q,YI X,et al. Aerodynamic parameters prediction of airfoil ice accretion based on convolutional neural network[J]. Flight Dynamics,2021,39(5):13-18. doi: 10.13645/j.cnki.f.d.20210811.001
|
[15] |
柴聪聪,易贤,郭磊,等. 基于BP神经网络的冰形特征参数预测[J]. 实验流体力学,2021,35(3):16-21. doi: 10.11729/syltlx20200016
CHAI C C,YI X,GUO L,et al. Prediction of ice shape characteristic parameters based on BP nerual network[J]. Journal of Experiments in Fluid Mechanics,2021,35(3):16-21. doi: 10.11729/syltlx20200016
|
[16] |
HUBER P J. Robust estimation of a location parameter[J]. The Annals of Mathematical Statistics,1964,35(1):73-101. doi: 10.1214/aoms/1177703732
|
[17] |
JAMES G, WITTEN D, HASTIE T, et al. An introduction to statistical learning: with Applications in R[M]. New York: Springer, 2013.
|
[18] |
易贤,郭龙,符澄,等. 结冰风洞试验段水滴分布特性分析[J]. 实验流体力学,2016,30(3):2-7,1. doi: 10.11729/syltlx20160034
YI X,GUO L,FU C,et al. Analysis of water droplets distribution in the test section of an icing wind tunnel[J]. Journal of Experiments in Fluid Mechanics,2016,30(3):2-7,1. doi: 10.11729/syltlx20160034
|