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A Detection Technology for Weak Vibration Signal Based on Independent Component Analysis

机译:基于独立分量分析的微弱振动信号检测技术

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For weak vibration signal with strong noise, a new kind of weak vibration signal detection method was proposed in this paper.Based on the redundancy reducing capability and the uncertain amplitude of independent component analysis, virtual noise was introduced to extend the dimension of original observed signal after we analyzed the prior features of noises in observed signal.Then extended signals were processed to get the independent source signals by applying to blind source separation (BSS).Thus, the noise embedded in observed signal was removed and characteristics of weak vibration signal were obtained successfully.Through the theoretical analysis and the simulation, the introduced method of this paper was checked to be available and then it was applied to faults analysis of rotor misalignment successfully.Finally, we made a conclusion that this method had great application value for the extraction of weak vibration signal.
机译:针对具有强噪声的弱振动信号,本文提出了一种新的弱振动信号检测方法。基于冗余减少能力和独立分量分析的不确定幅度,引入虚拟噪声来扩展原始观测信号的维数。在分析了观测信号中噪声的先验特征后,通过应用盲源分离(BSS)对扩展信号进行处理,得到独立的源信号,从而去除了观测信号中嵌入的噪声,获得了弱振动信号的特征。通过理论分析和仿真,验证了本文介绍的方法是可行的,然后成功地应用于转子不对中故障分析。提取微弱的振动信号。

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