摘要
为了更好地消除噪声对被测信号的干扰,针对传统小波软、硬阈值函数与全局阈值去噪算法的不足,综合考虑了小波阈值的估计与阈值函数的选取,提出了一种新的小波阈值去噪方法。对仿真信号与实验轴承振动信号进行去噪分析,并与几种不同的小波阈值去噪算法结果相对比。结果表明:新的小波阈值去噪算法更好地去除了噪声并保留了信号的原始特征,是一种更加优越的去噪方法,具有较高的实用价值。
In order to eliminate the interference of noise on the measured signal, contra-pose the insufficiency of traditional soft and hard wavelet threshold function and global threshold de-noising algorithm, considered both of the estimation of wavelet threshold and selection of the threshold function, a new wavelet threshold de-noising method was proposed. Analyzed the de-noising results of simulation signal and experimental bearing vibration signal, and compared with several different wavelet threshold de-noising algorithm. The results reveal that the new wavelet threshold de- noising algorithm eliminated noise and reserved original features of the signal better, and has superior features over the other methods, it has high practical application value in engineering.
出处
《机械设计与研究》
CSCD
北大核心
2017年第6期1-5,共5页
Machine Design And Research
基金
国家重大科学仪器设备开发专项资助(2013YQ13042902)
关键词
小波去噪
小波阈值
阈值函数
振动信号
wavelet de-noising
wavelet threshold
threshold function
vibration signal
