胡红英,殷福亮.频率外差经验模式分解改进算法[J].农业机械学报,2010,41(10):209-213.
.of Frequency Heterodyne Empirical Mode Decomposition[J].Transactions of the Chinese Society for Agricultural Machinery,2010,41(10):209-213.
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频率外差经验模式分解改进算法   [下载全文]
of Frequency Heterodyne Empirical Mode Decomposition   [Download Pdf][in English]
  
DOI:10.3969/j.issn.1000-1298.[year].[issue].[sequence]
中文关键词:  经验模式分解  频率外差  间隙非线性系统  复合故障诊断
基金项目:
胡红英  殷福亮
大连理工大学
中文摘要:当信号中两个单频分量的频率在二倍频内时,经验模式分解(EMD)无法将两分量分解开。为了提高EMD的频率分辨率,根据频率外差EMD方法提出了一种改进算法。此方法增大了信号中组成分量的频率差距,使之达到EMD可分的程度,但不会使高低频率翻转。间隙非线性系统输出分析和转子复合故障诊断的应用表明,该算法能有效提高EMD的频率分辨率,分解精度高,操作简单。
Key Words:
Abstract:Two individual components in a signal with frequencies within an octave usually can’t be decomposed by normal empirical mode decomposition (EMD) method. In order to improve the frequency resolution, an improved method based on frequency heterodyne EMD was presented. The proposed method enlarged the frequency difference of components to reach the identifying level of EMD. Moreover, the frequencies of components can’t be turnover with the frequency heterodyne EMD method. The applications in backlash nonlinearity system analysis and rotor complex fault diagnosis showed that the proposed method could improve the resolution of EMD with high accuracy and proved to be feasible.

Transactions of the Chinese Society for Agriculture Machinery (CSAM), in charged of China Association for Science and Technology (CAST), sponsored by CSAM and Chinese Academy of Agricultural Mechanization Science(CAAMS), started publication in 1957. It is the earliest interdisciplinary journal in Chinese which combines agricultural and engineering. It always closely grasps the development direction of agriculture engineering disciplines and the published papers represent the highest academic level of agriculture engineering in China. Currently, nearly 8,000 papers have been already published. There are around 3,000 papers contributed to the journal each year, but only around 600 of them will be accepted. Transactions of CSAM focuses on a wide range of agricultural machinery, irrigation, electronics, robotics, agro-products engineering, biological energy, agricultural structures and environment and more. Subjects in Transactions of the CSAM have been embodied by many internationally well-known index systems, such as: EI Compendex, CA, CSA, etc.

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