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基于符号序列Shannon熵提取机器的运行特征 被引量:15

Operational Feature Extraction of Machine Based on Shannon Entropy of Symbolic Series
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摘要 讨论了将时间序列转化为符号序列,即信号粗粒化问题,给出二进制符号化和角区间符号化两种规则,得到了二进制符号化规则下的符号序列Shannon熵计算方法。采用Shannon熵提取了汽油机瞬态排放信号、柴油机机身振动信号、转子轴振动信号的信号特征,结果表明,描述符号序列总体特征的Shannon熵能够便捷地反映机器的运行状况。 The problem of how to translate a time series into symbolic series, that means signal coarse-grained, was discussed. The symbolizing regulations of binary and angle section were given. The method of calculating symbolic series Shannon entropy under binary symbolizing regulation was also introduced. The signal features, which were in the gasoline-engine transient emission, dieselengine block vibration and rotor shaft vibration, were extracted based on the Shannon entropy. The results indicate that the Shannon entropy, by which the collected features of symbolic series are described, can reflect the machine's operational conditions conveniently.
出处 《中国机械工程》 EI CAS CSCD 北大核心 2006年第15期1595-1599,共5页 China Mechanical Engineering
基金 国家自然科学基金资助项目(50176006)
关键词 符号序列分析 Shannon熵 机器 特征提取 symbolic series analysis Shannon entropy machine feature extraction
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