摘要
针对掺杂在冲击信号中的微弱振动信息被淹没的问题,提出了一种基于小波变换滤除冲击信号提取微弱振动信号的方法.该方法采用自适应层数分解的小波变换分析原理,根据冲击信号特征,合理选择小波基,对冲击信号进行分析滤除.为获得较好的滤除效果,针对分解层数的自适应性,提出了一种分解层数的自适应确定方法.对含有冲击干扰的微弱标准信号进行数值模拟,对含有冲击干扰的微弱金刚砂振动信号进行实测分析.结果表明该方法能自适应性地确定小波分解层数,并有效滤除冲击提取被淹没的微弱振动信号.
Shock signal filtering method based on the adaptive decomposition level of wavelet transfor- mation approach was proposed to extract weak vibration signals covered with shock vibration signals. This method chose the wavelet base according to the characters of shock signal, and then removed the impact vi- bration signal with the theory of the adaptive decomposition level of wavelet transformation. In order to get a better result of filtering, a self-adaptive method was proposed to determine the decomposition level. The numerical simulation of standard weak signals and actual measured weak sand vibration signals both under the impacted interference shows that this method can determine wavelet decomposition level and can effectively extract weak vibration information covered with shock vibration signals.
出处
《湖南大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2015年第10期65-71,共7页
Journal of Hunan University:Natural Sciences
基金
国家科技重大专项基金资助项目(2011ZX0524-003-005
2011ZX05057-002-006)
关键词
冲击
振动
小波变换
频率分析
impact
vibration
wavelet transforms
frequency analysis
