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粒子滤波在轴承故障振动信号降噪中的应用
引用本文:潘宏侠,门吉芳.粒子滤波在轴承故障振动信号降噪中的应用[J].振动.测试与诊断,2011,31(3):354-356.
作者姓名:潘宏侠  门吉芳
作者单位:中北大学机械工程与自动化学院,太原,030051
基金项目:国家自然科学基金,山西省自然科学基金
摘    要:针对轴承故障信号的降噪处理,研究了粒子滤波方法和它在信号降噪中的应用.首先建立轴承故障振动信号的数学模型,将其作为粒子滤波的状态方程;然后提取背景噪声,将其和状态信号一起作为观测信号,得到观测方程,据此对原始真实信号进行估计,得到降噪后的信号,并通过仿真分析可知降噪前后的信噪比有明显的提高;最后将粒子滤波降噪思想用于所...

关 键 词:轴承故障  粒子滤波  振动信号  降噪

Bearing Fault Vibration Signal Noise Reduction Based on Particle Filter
Pan Hongxia,Men Jifang.Bearing Fault Vibration Signal Noise Reduction Based on Particle Filter[J].Journal of Vibration,Measurement & Diagnosis,2011,31(3):354-356.
Authors:Pan Hongxia  Men Jifang
Affiliation:Pan Hongxia,Men Jifang (Mechanical Engineering & Automation College,North University of China Taiyuan,030051,China)
Abstract:Aimed at bearing fault signal noise reduction processing,this paper studies the particle filter method and its application in signal noise reduction.Firstly,the mathematical model for bearing fault vibration signals is established and it is considered as the state equation of the particle filter.Then, extracting the background noise,the noise signal with the state signal as an observation signal,an observation equation is obtained.The original real signal is estimated,and the obtained estimate signal is the...
Keywords:bearing faults particle filter vibration signal noise reduction  
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