基于关联维数的不同压力下液压管路振动信号的非线性分析

韩清鹏; 朱瑞; 梁磊

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DOI:10.3969/j.issn.1006-4729.2016.05.011

上海电力大学学报:2016,32(5):463-466,494

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基于关联维数的不同压力下液压管路振动信号的非线性分析

韩清鹏, 朱瑞, 梁磊

(上海电力学院能源与机械工程学院)

Nonlinear Analysis of Hydraulic Pipe Vibrating Signals Under Different Pressures Based on Correlation Dimensions

HAN Qingpeng, ZHU Rui, LIANG Lei

(School of Energy and Mechanical Engineering, Shanghai University of Electric Power, Shanghai 200090, China)

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本文已被：浏览 1182次下载 593次
投稿时间：2015-03-23

中文摘要: 关联维数可定量分析不同压力状况下液压管路的工作状态.详细讨论了不同压力下液压管路系统的振动信号中关联维数的计算方法，并通过实验进行了分析.实验结果表明，通过偏相关积分算法计算得到的指数维数（关联维数近似值），能表征不同压力变化下的液压管路振动信号的变化，当压力变大时维数逐渐增大.

中文关键词: 关联维数液压管路振动信号非线性

Abstract:The correlation dimensions can be applied to quantitatively analyze the hydraulic pipe vibration signal under different pressures.The correlation dimensions of the vibration signals of hydraulic pipe of different pressures,the fractal dimension changes of different frequency components of hydraulic pipe vibration signal under different pressures are discussed in detail.The correlation dimensions change with the frequency of hydraulic pipe vibration signals under different pressure is analyzed.It is showed that the correlation dimensions are an important parameter.

keywords: correlation dimensions hydraulic pipe vibration signals nonlinear

文章编号：201600511 中图分类号： 文献标志码：

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作者	单位	E-mail
韩清鹏	上海电力学院能源与机械工程学院	han1011@163.com
朱瑞	上海电力学院能源与机械工程学院
梁磊	上海电力学院能源与机械工程学院

Author Name	Affiliation	E-mail
HAN Qingpeng	School of Energy and Mechanical Engineering, Shanghai University of Electric Power, Shanghai 200090, China	han1011@163.com
ZHU Rui	School of Energy and Mechanical Engineering, Shanghai University of Electric Power, Shanghai 200090, China
LIANG Lei	School of Energy and Mechanical Engineering, Shanghai University of Electric Power, Shanghai 200090, China

引用文本：
韩清鹏,朱瑞,梁磊.基于关联维数的不同压力下液压管路振动信号的非线性分析[J].上海电力大学学报,2016,32(5):463-466,494.
HAN Qingpeng,ZHU Rui,LIANG Lei.Nonlinear Analysis of Hydraulic Pipe Vibrating Signals Under Different Pressures Based on Correlation Dimensions[J].Journal of Shanghai University of Electric Power,2016,32(5):463-466,494.