粒子滤波在含噪齿轮箱故障盲源分离中的应用

中国机械工程 ›› 2011, Vol. 22 ›› Issue (15): 1853-1857.

粒子滤波在含噪齿轮箱故障盲源分离中的应用

刘晓平1;郑海起1;祝天宇2

1.军械工程学院,石家庄,050003

2.武汉军械士官学校,武汉,430075

出版日期:2011-08-10 发布日期:2011-08-24
基金资助:
国家自然科学基金资助项目(50775219)
National Natural Science Foundation of China（No. 50775219）

Application of Particle Filter in Blind Source Separation of Gearbox Fault under Complex Noise Environment

Liu Xiaoping1;Zheng Haiqi1;Zhu Tianyu2

1.Ordnance Engineering College,Shijiazhuang,050003

2.Wuhan Ordnance N.C.O Academy,Wuhan,430075

Online:2011-08-10 Published:2011-08-24
Supported by:
National Natural Science Foundation of China（No. 50775219）

摘要/Abstract

摘要：

在机械故障诊断中,传感器所获得的信号不可避免地受到各种未知噪声的干扰,针对这种复杂噪声环境下的机械信号盲源分离不能得到较好分离效果的问题,提出了一种将粒子滤波用于含噪信号盲分离的方法,首先利用Rao-blackwellised粒子滤波对观测信号进行降噪处理,然后再进行独立分量分析。仿真和实验结果表明该方法是有效的。

关键词:

故障诊断, 盲源分离, 粒子滤波, 降噪



Abstract:

In gearbox fault diagnosis, the signals collected by sensors were suffered generally by the disturbance from various types of unknown noises. Under the complex noise environments, the blind source separation of the gearbox faults can not obtain perfect results of separation.In order to solve this problem, a new noisy blind source separation method of gearbox faults was proposed based on particle filter. A denoising process to the observation signals was implemented using Rao-blackwellised particle filter before the independent component analysis. The simulation and experimental results show that the proposed method is effective.

Key words: fault diagnosis, blind source separation, particle filter, denoise

中图分类号:

刘晓平1, 郑海起1, 祝天宇2.

粒子滤波在含噪齿轮箱故障盲源分离中的应用

[J]. 中国机械工程, 2011, 22(15): 1853-1857.

LIU Xiao-Beng-1, ZHENG Hai-Qi-1, CHU Tian-Yu-2.

Application of Particle Filter in Blind Source Separation of Gearbox Fault under Complex Noise Environment

[J]. China Mechanical Engineering, 2011, 22(15): 1853-1857.

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