计算机与数字工程2017，Vol.45Issue(5)：820-824,5.DOI:10.3969/j.issn.1672-9722.2017.05.007
基于EMD与小波分析的设备故障诊断研究与分析
Equipment Fault Diagnosis Based on EMD and Wavelet Analysis
摘要
Abstract
This paper presents a method of equipment fault diagnosis based on the combination of EMD and wavelet analysis. Firstly it processes the signal vibration data by EMD to get some IMF,and trying wavelet analysis for each IMF,then the most repre?sentative parts of the IMF are chosen through Hilbert transform,finally fault diagnosis is realized and researched by the HHT mar?ginal spectrum of IMF,so it can realize effective diagnosis and research for equipment failure. The experimental results show that the method based on EMD and wavelet analysis for equipment fault diagnosis is effective and feasible.关键词
关键字EMD/小波分析/边际谱/故障诊断Key words
EMD/wavelet analysis/marginal spectrum/failure diagnosis分类
信息技术与安全科学引用本文复制引用
印嘉..基于EMD与小波分析的设备故障诊断研究与分析[J].计算机与数字工程,2017,45(5):820-824,5.基金项目
四川省科技厅计划项目(编号:2011JYZ031) （编号:2011JYZ031）
四川省教育厅科研项目(编号:14ZB0339) （编号:14ZB0339）
阿坝师院校级科研基金项目(编号:ASB16-09)资助. （编号:ASB16-09）
