机械科学与技术2025，Vol.44Issue(5)：814-823,10.DOI:10.13433/j.cnki.1003-8728.20230211
Infogram和改进MNAD相结合的滚动轴承早期故障诊断
Rolling Bearing Early Fault Diagnosis Combined Infogram with Improved MNAD
摘要
Abstract
In view of the fault feature extraction of rolling bearings that are susceptible to random noise,this paper proposes a fault feature extraction algorithm based on Infogram and improved MNAD(Minimum noise amplitude deconvolution).Firstly,Infogram is used to obtain the optimal frequency band and bandwidth for band-pass filtering,thereby reducing the influence of noise components.Secondly,the multipoint kurtosis spectrum is calculated on the preprocessed signal,the square envelope Gini coefficient(SEGI)is applied to the filter length selection of MNAD,and the optimal filter length for MNAD is selected adaptively.Finally,the MNAD is optimized based on the multipoint kurtosis spectrum and the optimal filter length,and the coordination of rolling bearings is combined with the envelope spectrum to realize fault diagnosis.The analysis of the simulation signals and experimental data proves the effectiveness of the proposed method.At the same time,it is applied to the engineering measured signal to verify its deconvolution ability in the actual working conditions.关键词
平方包络基尼系数/多点峭度谱/信息图/最小噪声振幅反褶积Key words
square envelope Gini coefficient/multipoint kurtosis spectrum/infogram/MNAD分类
机械制造引用本文复制引用
束海星,魏志刚,左俊杰,刘晓超,吴立奇..Infogram和改进MNAD相结合的滚动轴承早期故障诊断[J].机械科学与技术,2025,44(5):814-823,10.基金项目
安徽省重点研发计划(202004h07020005) （202004h07020005）
