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基于小波熵的矿用齿轮箱振动信号相关去噪法
引用本文:刘强,苏荣华.基于小波熵的矿用齿轮箱振动信号相关去噪法[J].科技导报(北京),2011,29(21):36-40.
作者姓名:刘强  苏荣华
作者单位:1. 辽宁工程技术大学机械工程学院,辽宁阜新 123000;2. 辽宁工程技术大学力学与工程学院,辽宁阜新 123000
基金项目:辽宁省教育厅高等学校创新团队项目(LT2010049); 中国煤炭工业科技计划项目(MTKJ2009-279)
摘    要: 利用真实信号小波系数相邻层间相关性强的特性,将基于小波熵的相关去噪法应用于矿用齿轮箱振动信号的处理,进行有用系数和噪声系数的划分,并对有用的小波系数进行重构,恢复原有真实信号,去噪过程中采用小波熵自适应设定阈值。为比较小波自适应相关去噪和硬阈值与传统相关性去噪的性能,分别对仿真信号和齿轮箱实测振动信号进行去噪处理,通过3种去噪方法的重构波形对比和信噪比与标准差的定量评价,以及实测信号的功率谱分析,表明小波熵相关去噪法有效提高了矿用齿轮箱振动信号的可信度。

关 键 词:小波熵    矿用齿轮箱    相关性    去噪

De-noising Method of Vibration Signal for Mine Gearbox Based on Adaptive Wavelet Correlation Analysis
LIU Qiang ,SU Ronghua .College of Mechanical Engineering,Liaoning Technical University,Fuxin ,Liaoning Province,China .School of Mechanics , Engineering,China.De-noising Method of Vibration Signal for Mine Gearbox Based on Adaptive Wavelet Correlation Analysis[J].Science & Technology Review,2011,29(21):36-40.
Authors:LIU Qiang  SU Ronghua College of Mechanical Engineering  Liaoning Technical University  Fuxin  Liaoning Province  China School of Mechanics  Engineering  China
Institution:1. College of Mechanical Engineering, Liaoning Technical University, Fuxin 123000, Liaoning Province, China;2. School of Mechanics and Engineering, Liaoning Technical University, Fuxin 123000, Liaoning Province, China
Abstract:A de-noising method based on Adaptive Wavelet Correlation Analysis(AWCA) is attempted to be applied to the vibration signal for mine gearbox using characteristics of strongly correlative between adjacent layers of the wavelet coefficients of real signal.The wavelet coefficients can be divided into available coefficients and noise coefficients,and adaptive threshold method based on wavelet entropy is applied,the available coefficients are reconstructed to restore the original real signal after de-noising pro...
Keywords:wavelet entropy  mine gearbox  correlation analysis  de-noising  
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