基于压缩感知的管道声旋转模态检测方法
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- 英文论文题名：Compressive Sensing Based Spinning Mode Detection
- 论文作者：于文君 ; 黄迅
- 英文论文作者：YU Wenjun ; HUANG Xun ; College of Engineering ; Peking University ; State Key Laboratory of Turbulence and Complex System ; Peking University
- 年：2016
- 作者机构：北京大学工学院;北京大学湍流国家重点实验室;
- 论文关键词：压缩感知 ; 管道声模态 ; 传感器阵列 ; 航空发动机。
- 英文论文关键词：compressive sensing ; duct acoustic mode ; sensory array ; aero-engine
- 会议召开时间：2016-11-04
- 会议录名称：2016年度全国气动声学学术会议论文摘要集
- 语种：中文
- 分类号：V231
- 学会代码：LTLX
- 会议名称：2016年度全国气动声学学术会议
- 会议地点：中国北京
- 主办单位：中国航空学会航空声学专业委员会、中国航空学会气动声学专业委员会、中国商飞上海飞机设计研究院、北京航空航天大学
- 学会名称：北京航空航天大学流体力学教育部重点实验室
- 页数：5
- 文件大小：676k
- 原文格式：D
- 会议级别：全国
摘要
本文简述了一种基于压缩感知算法的管道声旋转模态检测方法。该方法能够突破空间Shannon-Nyquist采样定律的限制,针对发动机管道中模态是稀疏的特性,采用比传统方法更少的传感器检测其高阶模态,有效的降低系统对于数据采集、信号调理和数据存储等方面的成本。另外,本文通过数值仿真验证了该算法的可靠性以及抗噪能力,同时通过初步实验验证了该算法的有效性。该方法也能够针对现有阵列,提高其观测更高阶模态的能力。
A compressive sensing based mode detection method for duct spinning mode is presented in this paper.This method could break through the spatial Shannon-Nyquist sampling theorem and use less sensors than conventional mode detection method when the incident duct mode is sparse, which could save the costs of data acquisition, signal processing and data storage in experiments.Numerical simulations validated the effectiveness of this method and evaluated the probability of successful detection with different number of selected sensors and mode sparsity.This new method is capable to improve the mode detection ability of higher order modes for existing facilities.
A compressive sensing based mode detection method for duct spinning mode is presented in this paper.This method could break through the spatial Shannon-Nyquist sampling theorem and use less sensors than conventional mode detection method when the incident duct mode is sparse, which could save the costs of data acquisition, signal processing and data storage in experiments.Numerical simulations validated the effectiveness of this method and evaluated the probability of successful detection with different number of selected sensors and mode sparsity.This new method is capable to improve the mode detection ability of higher order modes for existing facilities.
引文
[1]Joppa,P.,“Acoustic mode measurements in the inlet of a turbofan engine,”Journal of Aircraft,Vol.24,No.9,1987,pp.587-593.
[2]Blacodon,D.and Lewy,S.,“Spinning mode analysis of the acoustic field generated by a turboshaft engine,”Journal of Aircraft,Vol.29,No.6,1992,pp.1073-1079.
[3]Rademaker,E.R.,Sijtsma,P.,and Tester,B.J.,“Mode detection with an optimised array in a model turbofan engine intake at varying shaft speeds,”7th AIAA/CEASAeroacoustics Conference,American Institute of Aeronautics and Astronautics,2001.
[4]Enghardt,L.,Tapken,U.,Neise,W.,Kennepohl,F.,and Heinig,K.,“Turbine blade/vane interaction noise:acoustic mode analysis using in-duct sensor rakes,”7th AIAA/CEAS Aeroacoustics Conference,American Institute of Aeronautics and Astronautics,2001.
[5]Heidelberg,L.J.and Hall,D.G.,“Inlet acoustic mode measurements using a continuously rotating rake,”Journal of Aircraft,Vol.32,No.4,1995,pp.761-767.
[6]Sijtsma,P.and Orsi,H.,“Azimuthal and radial mode detection by a slowly rotating rake in an aircraft turbofan engine,”19th AIAA/CEAS Aeroacoustics Conference,American Institute of Aeronautics and Astronautics,2013.
[7]Tyler,J.M.and Sofrin,T.G.,Axial flow compressor noise studies.SAE Transactions,Vol.70,1962,pp.309-332.
[8]Candes,E.J.,Romberg,J.,and Tao,T.,“Robust uncertainty principles:exact signal reconstruction from highly incomplete frequency information,”IEEETransactions on Information Theory,Vol.52,No.2,2006,pp.489-509.
[9]Donoho,D.L.,“Compressed sensing,”IEEETransactions on Information Theory,Vol.52,No.4,2006,pp.1289-1306.
[10]Huang,X.,“Compressive sensing and reconstruction in measurements with an aerospace application,”AIAAJournal,Vol.51,No.4,2013,pp.1011-1016.
[11]Sijtsma,P.and Zillmann,J.,“In-duct and far-field mode detection techniques,”13th AIAA/CEAS Aeroacoustics Conference,American Institute of Aeronautics and Astronautics,2007.
[12]Foucart,S.and Rauhut,H.,A mathematical introduction to compressive sensing,Springer New York,2013.
[2]Blacodon,D.and Lewy,S.,“Spinning mode analysis of the acoustic field generated by a turboshaft engine,”Journal of Aircraft,Vol.29,No.6,1992,pp.1073-1079.
[3]Rademaker,E.R.,Sijtsma,P.,and Tester,B.J.,“Mode detection with an optimised array in a model turbofan engine intake at varying shaft speeds,”7th AIAA/CEASAeroacoustics Conference,American Institute of Aeronautics and Astronautics,2001.
[4]Enghardt,L.,Tapken,U.,Neise,W.,Kennepohl,F.,and Heinig,K.,“Turbine blade/vane interaction noise:acoustic mode analysis using in-duct sensor rakes,”7th AIAA/CEAS Aeroacoustics Conference,American Institute of Aeronautics and Astronautics,2001.
[5]Heidelberg,L.J.and Hall,D.G.,“Inlet acoustic mode measurements using a continuously rotating rake,”Journal of Aircraft,Vol.32,No.4,1995,pp.761-767.
[6]Sijtsma,P.and Orsi,H.,“Azimuthal and radial mode detection by a slowly rotating rake in an aircraft turbofan engine,”19th AIAA/CEAS Aeroacoustics Conference,American Institute of Aeronautics and Astronautics,2013.
[7]Tyler,J.M.and Sofrin,T.G.,Axial flow compressor noise studies.SAE Transactions,Vol.70,1962,pp.309-332.
[8]Candes,E.J.,Romberg,J.,and Tao,T.,“Robust uncertainty principles:exact signal reconstruction from highly incomplete frequency information,”IEEETransactions on Information Theory,Vol.52,No.2,2006,pp.489-509.
[9]Donoho,D.L.,“Compressed sensing,”IEEETransactions on Information Theory,Vol.52,No.4,2006,pp.1289-1306.
[10]Huang,X.,“Compressive sensing and reconstruction in measurements with an aerospace application,”AIAAJournal,Vol.51,No.4,2013,pp.1011-1016.
[11]Sijtsma,P.and Zillmann,J.,“In-duct and far-field mode detection techniques,”13th AIAA/CEAS Aeroacoustics Conference,American Institute of Aeronautics and Astronautics,2007.
[12]Foucart,S.and Rauhut,H.,A mathematical introduction to compressive sensing,Springer New York,2013.