[1]汤琴,黄宜坚.采用AR模型双谱估计的概率筛筛分效率[J].华侨大学学报(自然科学版),2011,32(3):253-257.[doi:10.11830/ISSN.1000-5013.2011.03.0253]
 TANG Qin,HUANG Yi-jian.Analysis of Probability Screen Efficiency Using Bispectrum Estimation Based on AR Model[J].Journal of Huaqiao University(Natural Science),2011,32(3):253-257.[doi:10.11830/ISSN.1000-5013.2011.03.0253]
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采用AR模型双谱估计的概率筛筛分效率()
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《华侨大学学报(自然科学版)》[ISSN:1000-5013/CN:35-1079/N]

卷:
第32卷
期数:
2011年第3期
页码:
253-257
栏目:
出版日期:
2011-05-20

文章信息/Info

Title:
Analysis of Probability Screen Efficiency Using Bispectrum Estimation Based on AR Model
文章编号:
1000-5013(2011)03-0253-05
作者:
汤琴黄宜坚
华侨大学机电及自动化学院
Author(s):
TANG Qin HUANG Yi-jian
College of Mechanical Engineering and Automation, Huaqiao University, Quanzhou 362021, China
关键词:
概率筛 自回归模型 双谱 对角切片 筛分效率
Keywords:
probability screen auto-regressive model bispectrum diagonal slice screening efficiency
分类号:
TB114
DOI:
10.11830/ISSN.1000-5013.2011.03.0253
文献标志码:
A
摘要:
建立概率筛振动信号的自回归模型,进行双谱估计.从双谱及其对角切片中获得谱特征和筛分效率之间的关系,并找出最佳筛分效率的谱特征.实验和研究结果表明:不同的筛分效率有着不同的谱特征,筛分效率的高低与谱高峰出现的频率范围,高峰两侧陡度的对称性和零处的耦合性有很大关系.
Abstract:
Auto-regressive model for vibration signals of probability screen was used to estimate bispectrum in this paper.From the features of the bispectrum and its diagonal slices,the relationship between the characteristics of the spectrums and screening efficiencies was found,and the spectrum characteristics of the highest screening efficiency were described.Results showed that different screening efficiencies were corresponding to different spectral features,and it also indicated that the high and low efficiency of the screen is of great relevance with the angle range of a coupling peak appearing,the symmetric properties of the gradient on two sides of the peak and the coupling at angle 0.

参考文献/References:

[1] CHOW T W S, FEI Gou. Three phase induction machines asymmetrical faults identification using bispectrum [J]. IEEE Transactions on Energy Conversion, 1995(4):688-693.doi:10.1109/60.475840.
[2] GALLEGO A, URDOALES C, RUIZ D P. Quadratic phase coupling detection in harmonic vibrations via an order-re-cursive AR bispectrum estimation [J]. Nonlinear Dynamics, 1999(3):273-294.doi:10.1023/A:1008398026872.
[3] 张贤达. 时间序列分析:高阶统计量方法 [M]. 北京:清华大学出版社, 1996.6-13, 20-24, 52-55.
[4] COLLIS W B, WHITE P R, HAMMOND J K. Higher-order spectra:The bispectrum and trispectrum [J]. Mechanical Systems and Signal Processing, 1998(3):375-394.doi:10.1006/mssp.1997.0145.
[5] RAGHUVEER M, NIKIAS C. Bispectrum estimation:A parametric approach [J]. IEEE Transactions on Acoustics, Speech and Signal Processing, 1985(5):1213-1230.doi:10.1109/TASSP.1985.1164679.
[6] 杨叔子, 无雅, 轩建平. 时间序列分析的工程应用 [M]. 武汉:华中科技大学出版社, 2007.41-46.
[7] HANNESSCHL(A)GER G. HOSA:Higher order spectra analysis [EB/OL]. http:∥www.emt.jkt.at/education/Inhalte/se_moderne_methoden/WS0405/hannesschlaeger_hosa.pdf, 2004.
[8] ANANTHRAM S, JERRY M M, CHRYSOSTOMOS L N. Higher-order spectral analysis toolbox [M]. Natick:The Mathworks Inc, 1995.
[9] RIVOLA A, WHITE P R. Bispectral analysis of the bilinear oscillator with application to the detection of fatigue cracks [J]. Journal of Sound and Vibration, 1998(5):889-910.doi:10.1006/jsvi.1998.1738.
[10] NIKIAS C L, RAGHUVEER M R. Bispectrum estimation:A digital signal processing framework [J]. Proceedings of the IEEE, 1987(7):869-891.
[11] KIM Y C, POWERS E J. Digital bispectral analysis and its applications to nonlinear wave interactions [J]. IEEE Transactions on Plasma Sciences, 1979(2):120-131.doi:10.1109/TPS.1979.4317207.
[12] 蔡奇志, 黄宜坚. 自回归三谱切片研究 [J]. 仪器仪表学报, 2009(2):345-350.doi:10.3321/j.issn:0254-3087.2009.02.023.

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备注/Memo

备注/Memo:
国家自然科学基金资助项目(50975098)
更新日期/Last Update: 2014-03-23