湖南大学学报（自然科学版）2023，Vol.50Issue(12)：178-186,9.DOI:10.16339/j.cnki.hdxbzkb.2023189
基于伪极值点的ALIF方法及其应用
Pseudo-extrema-based ALIF Method and Its Applications
摘要
Abstract
Aiming at the modal aliasing problem of the Adaptive Local Iterative Filtering(ALIF)method,a Pseudo-extrema-based Adaptive Local Iterative Filtering(PEALIF)method is proposed,which uses the method of adding pseudo-extrema to make the distribution of signal extremely more uniform,effectively suppressing the prob-lem of modal aliasing,and also ensuring the order of algorithm decomposition.The principle of the PEALIF method is introduced in detail.Simultaneously,simulation signals are constructed,and this method is analyzed and com-pared with the Empirical Mode Decomposition(EMD),Ensemble Empirical Mode Decomposition(EEMD),Complementary Ensemble Empirical Mode Decomposition(CEEMD)and ALIF methods.The results show that PEALIF has certain advantages in decomposition ability,suppression of modal aliasing and anti-noise interference.Finally,this method is applied to the fault diagnosis of double inner ring bearing.The experimental results show that the PEALIF method can obtain more prominent and easily identifiable fault feature information,which confirms the application of this method in the bearing fault diagnosis analysis.关键词
自适应局部迭代滤波/伪极值点/模态混叠/故障诊断/双半内圈轴承Key words
adaptive local iterative filtering(ALIF)/peseudo-extrma-based(PE)/modal aliasing/fault diag-nosis/double half inner ring bearing分类
机械工程引用本文复制引用
吴占涛,曹清泉,袁毅,程军圣,杨宇,李宝庆..基于伪极值点的ALIF方法及其应用[J].湖南大学学报（自然科学版）,2023,50(12):178-186,9.基金项目
国家重点研发计划资助项目(2020YFB2009602),National Key Research and Development Program of China(2020YFB 2009602) （2020YFB2009602）
国家自然科学基金资助项目(52275103,51975193),National Natural Science Foundation of China(52275103,51975193) （52275103,51975193）
湖南省教育厅科研项目(21A0017),Scientific Research Project of Hunan Provincial Education Department(21A0017) （21A0017）
