[1]董建超,杨铁军,李新辉,等.简谐成分的盲源分离适用性研究[J].哈尔滨工程大学学报,2014,(04):413-419.[doi:10.3969/j.issn.10067043.201306082]
 DONG Jianchao,YANG Tiejun,LI Xinhui,et al.Research on the applicability of the blind source separation of harmonic components[J].Journal of Harbin Engineering University,2014,(04):413-419.[doi:10.3969/j.issn.10067043.201306082]
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简谐成分的盲源分离适用性研究(/HTML)
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《哈尔滨工程大学学报》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2014年04期
页码:
413-419
栏目:
出版日期:
2014-04-25

文章信息/Info

Title:
Research on the applicability of the blind source separation of harmonic components
文章编号:
10067043(2014)04041307
作者:
董建超杨铁军李新辉代路
哈尔滨工程大学 动力与能源工程学院,黑龙江 哈尔滨 150001
Author(s):
DONG Jianchao YANG Tiejun LI Xinhui DAI Lu
Power and Energy Engineering College, Harbin Engineering University, Harbin 150001, China
关键词:
盲源分离独立分量分析二阶盲辨识峭度模态识别简谐成分
分类号:
O328, TK421.6
DOI:
10.3969/j.issn.10067043.201306082
文献标志码:
A
摘要:
盲源分离问题(BSS)大多基于信源信号的独立性假设或者时间结构假设条件来展开研究,对信源的不当假设可能导致算法过学习,产生虚假的信源识别结果。针对机械系统中普遍存在的简谐成分,研究了BSS方法应用于简谐成分盲分离的适用性。简要介绍了2种典型的BSS方法——独立分量分析方法(ICA)和二阶盲辨识方法(SOBI),通过峭度分析简谐信号的非高斯性,发现当简谐信号构成傅里叶级数系时,有可能构成非高斯性更强的信号。应用FastICA算法和SOBI算法进行简谐信号盲分离的仿真研究以及简支梁结构模态识别的实验研究。结果表明:当简谐信号构成傅里叶级数系时, ICA方法会优先分离非高斯性更强的信号,导致方法过学习;而SOBI方法能确保简谐成分的盲分离过程准确可靠。

参考文献/References:

[1]ANTONI J. Special issue on blind source separation: editorial[J]. Mechanical Systems and Signal Processing, 2005, 19(6): 11631165. [2]ANTONI J. Blind separation of vibration components: principles and demonstrations[J]. Mechanical Systems and Signal Processing, 2005, 19(6): 11661180. [3]LIU X. Blind source separation methods and their mechanical application[D]. Sydney: The University of New South Wales, 2006: 1924. [4]COMON P, JUTTEN C. Handbook of blind source separation: independent component analysis and applications[M]. New York: Academic Press, 2010: 779814. [5]HYVARINEN A, KARHUNEN J, OJA E. Independent component analysis[M]. New York: Wiley, 2001: 712. [6]CICHOCKI A, AMARI S. Adaptive blind signal and image processing[M]. New York: Wiley, 2002: 129173. [7]KERSCHEN G, PONCELET F, GOLINVAL J. Physical interpretation of independent component analysis in structural dynamics[J]. Mechanical Systems and Signal Processing, 2007, 21(4): 15611575. [8]PONCELET F, KERSCHEN G, GOLINVAL J, et al. Outputonly modal analysis using blind source separation techniques[J]. Mechanical Systems and Signal Processing, 2007, 21(6): 23352358. [9]ZHOU W, CHELIDZE D. Blind source separation based vibration mode identification[J]. Mechanical Systems and Signal Processing, 2007, 21(8): 30723087. [10]MCNEILL S, ZIMMERMAN D. A framework for blind modal identification using joint approximate diagonalization[J]. Mechanical Systems and Signal Processing, 2008, 22(7): 15261548. [11]ANTONI J, CHAUHAN S. A study and extension of secondorder blind source separation to operational modal analysis[J]. Journal of Sound and Vibration, 2013, 332(4): 10791106. [12]KIHONG S, JOSEPH H. Fundamentals of signal processing for sound and vibration engineers[M]. New York: Wiley, 2008: 232235. [13]CARDOSO J, SOULOUMIAC A. Jacobi angles for simultaneous diagonalization[J]. SIAM Journal of Matrix Analysis and Applications, 1996, 17(1): 161164. [14]BELOUCHRANI A, ABEDMERAIM K, CARDOSO J, et al. A blind source separation technique using secondorder statistics[J]. IEEE Transactions on Signal Processing, 1997, 45(2): 433444. [15]CARDOSO J. Blind signal separation: statistical principles[J]. Proceedings of the IEEE, 1998, 86(10): 20092025. [16]倪振华.振动力学[M]. 西安:西安交通大学出版社,1989: 338400.

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备注/Memo

备注/Memo:
收稿日期:2013-06-28. 网络出版时间:2014-03-15 20:42:58. 基金项目:国家自然科学基金资助项目(51375103). 作者简介:董建超(1985-),男,博士研究生; 杨铁军(1972-),男,教授,博士生导师。 通信作者:杨铁军, E-mail:yangtiejun@ hrbeu.edu.cn.
更新日期/Last Update: 2014-07-07