摘要
针对汽轮机振动信号去噪问题,根据振动信号和噪声的小波变换模极大值在不同尺度上表现出的不同的传播特性,给出了基于小波变换模极大值的去噪算法.利用该法可以最大程度对含噪汽轮机振动信号去噪处理,实现信噪分离,并有效地保留信号的奇异点信息.
As for the denoising problem of turbine vibration signals,a denoising algorithm about wavelet transform modulus maxima was presented based on different characteristics of wavelet transform modulus maxima of vibration signal and noise.The results show that this algorithm can be employed to significantly denoise turbine vibration signals,thereby seperating signals from noise and effectively retaining the signal of the singular point information.
出处
《南京工程学院学报(自然科学版)》
2010年第1期38-42,共5页
Journal of Nanjing Institute of Technology(Natural Science Edition)
关键词
小波变换
模极大值
去噪
奇异性指数
wavelet transform
modulus maxima
denoising
singularity index