重庆理工大学学报（自然科学版）2018，Vol.32Issue(1)：1-6,6.DOI:10.3969/j.issn.1674-8425(z).2018.01.001
改进的形态差值滤波器在滚动轴承故障诊断中的应用
Application of Improved Morphology Different Filter in Rolling Bearing Fault Diagnosis
摘要
Abstract
In order to effectively reduce the noise in the rotating machinery vibration signal,we extract impulse components in the rolling bearing.A new methodology is proposed that using integrated five-spot triple smoothing and improved morphological filter operators.Five-spot triple smoothing is first step to eliminate the background noise,then using improved morphology different filter(GDIF)extracting impulse components,morphology different filter(GDIF)is based on different filter(DIF).The result of instance shows that method(F-GDIF)is better in extracting impulse components.关键词
改进差值滤波器/数学形态学/五点三次平滑法/振动信号/滚动轴承Key words
improved morphology different filter/mathematical morphology/five-spot triple smoothing/vibration signals/rolling bearing分类
机械制造引用本文复制引用
石晓辉,阳新华,张向奎,李文礼..改进的形态差值滤波器在滚动轴承故障诊断中的应用[J].重庆理工大学学报（自然科学版）,2018,32(1):1-6,6.基金项目
重庆市汽车动力系统及控制工程技术研究中心能力提升项目(cstc2014pt-gc6003) （cstc2014pt-gc6003）
重庆市教委科学技术研究项目(KJ1709226) （KJ1709226）
