提升机载荷小波降噪参数的选取  

Selection of wavelet denoising parameters for hoist loading

作　　者：马驰[1] 王亚东 肖兴明[1] 

机构地区：[1]中国矿业大学机电工程学院,江苏徐州221008 [2]甘肃钢铁职业技术学院机械工程系

出　　处：《矿山机械》2012年第3期41-43,共3页Mining & Processing Equipment

基　　金：国家自然科学基金资助项目(50905179)

摘　　要：采用基于小波分析的降噪方法对载荷信号进行降噪,并对选择不同参数时的降噪效果进行了直观比较与定量分析。结果表明,小波降噪方法适于提升机载荷信号的处理,但根据降噪信号平滑性、与原始相似性的等不同的实际需求,应选择相应的工作参数。Denoising method based on wavelet analysis was applied to reduce the noise of loading, and denoising effects while selecting different parameters were compared and quantitatively analyzed. The results showed that the wavelet denoising method was suitable for processing signals of hoist loading, however because of different needs in smoothness of the denoising signal and similarity with originals, operating parameters should be selected correspondingly.

关 键 词：提升机 载荷 小波降噪 信噪比 

分 类 号：TD534[矿业工程—矿山机电]