机械科学与技术2025，Vol.44Issue(8)：1351-1358,8.DOI:10.13433/j.cnki.1003-8728.20230281
一种多尺度极差熵结合ISOMAP的轴承故障诊断方法
A Bearing Fault Diagnosis Method Combined Multi-scale Range Entropy with ISOMAP
摘要
Abstract
Aiming at the problems of difficult extraction of rolling bearing fault signals,complex fault feature signals,and redundant information,this paper proposed an optimization method of multi-scale range entropy(MRE)combined with isometric feature mapping(ISOMAP)for feature dimensionality reduction.Firstly,the vibration signal of rolling bearing faults is decomposed by using the variational mode decomposition(VMD)to obtain the specified number of intrinsic mode components;Secondly,MRE is used for feature extraction and feature sample set is established;Finally,ISOMAP is used to reduce the dimension of feature samples for fault classification.The experimental results show that this method can effectively extract feature signals of rolling bearing faults,thereby improving the accuracy of rolling bearing fault diagnosis.关键词
滚动轴承/多尺度极差熵/特征降维/等距特征映射/故障诊断Key words
rolling bearing/multiscale range entropy/dimension reduction/isometric feature mapping/fault diagnosis分类
机械制造引用本文复制引用
廖紫洋,陈勇旗,章涛..一种多尺度极差熵结合ISOMAP的轴承故障诊断方法[J].机械科学与技术,2025,44(8):1351-1358,8.基金项目
国家自然科学基金项目(61175054)与浙江省自然科学基金项目(LY16E050001) （61175054）
