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转子振动信号的二阶非平稳源盲分离
引用本文:李舜酩,雷衍斌.转子振动信号的二阶非平稳源盲分离[J].推进技术,2008,29(6):747-752.
作者姓名:李舜酩  雷衍斌
作者单位:南京航空航天大学,能源与动力学院,江苏,南京,210016
基金项目:国家自然科学基金 , 江苏省自然科学基金  
摘    要:复杂的转子系统的多振动混叠信号分离是振动信号处理领域的一个难题。在介绍盲源分离基本原理的基础上,首次选用了二阶非平稳源盲分离算法对带有较强噪声的实际转子系统的振动信号进行盲分离,满意地分离出了各个振动源信号。采用SONS算法得到的振动源频谱分析清晰地反映出了各个振动源的频谱特性,且较好地抑制了噪声的影响。研究中提出的测量方法,为实际复杂结构的振动源盲识别提供了支持。

关 键 词:转子  振动信号  盲源分离+  二阶非平稳源+

Blind separation of rotor vibration signals by second order non-steady arithmetic
LI Shun-ming and LEI Yan-bin.Blind separation of rotor vibration signals by second order non-steady arithmetic[J].Journal of Propulsion Technology,2008,29(6):747-752.
Authors:LI Shun-ming and LEI Yan-bin
Institution:(Coll.of Energy and Power Engineering,Nanjing Univ.of Aeronautics and Astronautics,Nanjing 210016,China)
Abstract:The separation of multi mixed vibration signal on complicated rotor system is a difficult problem in vibration signal process.After the basic principles of blind source separation is introduced,the second order non-steady arithmetic is first chosen for vibration signals separation on real rotor system.Usually this vibration signals have strong noise.The vibration source is separated successfully by the method.The spectrums of separated vibration sources obtained by SONS arithmetic can be clearly reflected in frequency domain.The noise is kept down better in the frequency domain.The measurment methods provides the support for vibration source blind identification of complex structure.
Keywords:Rotor  Vibration signal  Blind source separation+  Second order non-steady source+
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