摘要
针对钢丝绳缺陷信号的降噪与特征量的提取问题,提出基于MATLAB的滑动平均与小波降噪相结合的信号处理方法,并详细叙述了基于差分方法的特征提取的原理,较好地实现了信号的降噪与缺陷信号特征量的自动提取。
Considering the problems about the denoising and feature extraction of defective signals of wire rope, the paper proposed the signal processing method combining sliding average with wavelet denoising based on MATLAB, and expounded the feature extraction principle based on difference method. Thus the denoising and automatic feature extraction of defective signals were realized.
出处
《矿山机械》
北大核心
2014年第2期49-53,共5页
Mining & Processing Equipment
关键词
滑动平均
小波降噪
特征提取
sliding average
wavelet denoising
feature extraction