基于符号树信息熵的机械振动瞬态信号特征提取
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国家自然科学基金资助项目(50176006)


Extraction of the Characteristic of Mechanism VibrationTransient Signal Based on Entropy of Symbolic Tree
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    摘要:

    用简单的二进制划分简要说明了信号符号化问题,给出了二进制划分下符号树结构及其Shannon熵计算方法,叙述了符号序列编码方法和符号序列直方图的作用,提交了符号时间序列分析的计算机流程图,对内燃机机身振动信号和转轴振动信号用符号树信息熵进行了特征提取。

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    The question how to translate a time series into a symbolic series is briefly answered by the simplest binary partition. The frame of symbolic tree and calculation method of Shannon entropy are presented depending on the binary partition. The coding method and histogram function of symbolic series are described. The calculation flow chart for symbolic time series analysis is refered to. The signal characteristics, which are from the vibration of both IC engine block and mechanical bearing, are extracted by the measurement of entropy of the symbolic tree.

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张雨,胡茑庆.基于符号树信息熵的机械振动瞬态信号特征提取[J].国防科技大学学报,2003,25(4):79-81.
ZHANG Yu, HU Niaoqing. Extraction of the Characteristic of Mechanism VibrationTransient Signal Based on Entropy of Symbolic Tree[J]. Journal of National University of Defense Technology,2003,25(4):79-81.

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  • 收稿日期:2003-01-05
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  • 在线发布日期: 2013-06-14
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