机械科学与技术2018，Vol.37Issue(1)：36-42,7.DOI:10.13433/j.cnki.1003-8728.2018.0107
MCKD最佳故障周期搜索的齿轮箱故障特征提取
Optimum Fault Period Searching of MCKD Algorithm for Fault Feature Extraction of Gearbox
摘要
Abstract
Considering this problem that minimum entropy deconvolution (MED) algorithm is unsuitable for strong noise and outliers,a new method of fault feature extraction from gearbox based on maximum correlated kurtosis deconvolution (MCKD) is introduced,which can overcome the shortcoming of MED algorithm.However,the effect of MCKD algorithm is probably poor according to priori information to select fault period.Therefore,an idea of fault period searching is discussed,the fault period can be limited to a certain range of computation period,and the maximum correlated kurtosis(KC) converges to the global maximum about the optimum fault period with large M and suitable L,and ensures the effective results for MCKD algorithm with different M values.The experimental results of gearbox fault feature extraction with a missing tooth and a chipped tooth indicate that the feasibility and effectiveness of optimum fault period searching of MCKD method are testified.关键词
齿轮箱/故障特征提取/最小熵解卷积/最大相关峭度解卷积Key words
Gearbox/feature extraction/minimum entropy deconvolution (MED)/maximum correlated kurtosis deconvolution (MCKD)分类
机械制造引用本文复制引用
冷军发,荆双喜,王志阳,华伟..MCKD最佳故障周期搜索的齿轮箱故障特征提取[J].机械科学与技术,2018,37(1):36-42,7.基金项目
国家自然科学基金项目(U1304523)、中国煤炭工业协会项目(MTKJ2015-261)及河南理工大学博士基金项目(B2017-28)资助 （U1304523）
