基于自相关降噪的混叠转子振动信号分离

雷衍斌;李舜酩;门秀花;沈峘;郝青青;刘建娅

振动与冲击 ›› 2011, Vol. 30 ›› Issue (1) : 218-222.

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振动与冲击 ›› 2011, Vol. 30 ›› Issue (1) : 218-222.
论文

基于自相关降噪的混叠转子振动信号分离

  • 雷衍斌;李舜酩1; 门秀花2 ;沈峘1 ;郝青青1 ;刘建娅1
作者信息 +

Separation of mixed vibration signals based on auto-correlation de-noising

  • LEI Yan-bin1; LI Shun-ming1; MEN Xiu-hua2; SHEN Huan1; HAO Qing-qing1; LIU Jian-ya1
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文章历史 +

摘要

航空发动机在运行过程中,传感器测得的振动信号是各振源的混叠信号,且含有很强的噪声。常规的信号处理方法难以分离混叠信号,对机器的健康监测和故障诊断造成了很大的困难。介绍了盲源分离基本原理和方法,指出盲源分离算法在强噪声环境下失效。针对强噪声环境下的混叠振动信号,提出首先通过时延自相关降噪方法对振动信号进行降噪,然后通过盲源分离算法对降噪后的信号分离。仿真结果验证了提出方法的有效性。最后,利用该方法对实测混叠转子振动信号成功实现了降噪和盲分离,为噪声环境下的混叠信号分离提供了一种新的方法。


Abstract

When the areo-engine is running, the vibration signals measured by the sensors are mixed with all vibration sources and include the very strong noises. It’s difficult to separate the mixed signals with conventional methods of signal processing, which induces the difficulties of the machine health monitoring and fault diagnosis. The principle and method of blind source separation is introduced, and point out that the blind source separation algorithm is invalid in strong noise environment. For the vibration signals in strong noise environment, de-noising the vibration signals with time-delayed auto-correlation method firstly, and then separate the de-noised signals with the blind source separation algorithm. The simulation results verify the effectiveness of the proposed method. Finally, the mixed rotor’s vibration signals is separated successfully using the proposed method, and provides a new approach for the mixed vibration signals in strong noise environment.

关键词

盲源分离 / 转子 / 振动信号 / 自相关降噪

Key words

blind source separation / rotor / vibration signal / auto-correlation de-noising

引用本文

导出引用
雷衍斌;李舜酩;门秀花;沈峘;郝青青;刘建娅. 基于自相关降噪的混叠转子振动信号分离[J]. 振动与冲击, 2011, 30(1): 218-222
LEI Yan-bin;LI Shun-ming;MEN Xiu-hua;SHEN Huan;HAO Qing-qing;LIU Jian-ya. Separation of mixed vibration signals based on auto-correlation de-noising[J]. Journal of Vibration and Shock, 2011, 30(1): 218-222

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