现代制造工程Issue(12)：132-139,8.DOI:10.16731/j.cnki.1671-3133.2023.12.017
基于log-SAM改进Autogram的滚动轴承故障诊断
Rolling bearing fault diagnosis method of improved Autogram by log-SAM
摘要
Abstract
The envelope result of unbiased autocorrelation analysis of Autogram is easily polluted by the strong noises,thus rolling bearing faults cannot be diagnosed by Autogram effectively.Aiming at the problems,the processing flow of the original Autogram is changed,and unbiased autocorrelation analysis is replaced by log-SAM,thus an improved Autogram is proposed.Firstly,the measured fault signal of rolling bearing is decomposed by Maximal Overlap Discrete Wavelet Packet Transform(MODWPT),and a series of signals can be got at each decomposition level.Secondly,spectrum kurtosis of the above signals can be computed,and the sub-signal corresponding to the maximum kurtosis is selected as the data source.Finally,the data source is processed by the threshold value,and then envelope analysis is executed by log-SAM,and the unbiased autocorrelation analysis is replaced,and thus the best fault diagnosis result can be got.Experiments on simulated and measured fault signals of rolling bearing inner race show that the improved Autogram algorithm has good denoising ability and diagnosis effect and other performs better than Auto-gram and another traditional methods.关键词
滚动轴承/故障诊断/Autogram算法/log-SAM/包络分析Key words
rolling bearing/fault diagnosis/Autogram algorithm/log-SAM/envelop analysis分类
机械制造引用本文复制引用
郑直,李显泽,刘伟民,王志军,曾魁魁..基于log-SAM改进Autogram的滚动轴承故障诊断[J].现代制造工程,2023,(12):132-139,8.基金项目
河北省自然科学基金资助项目(E2022209086) （E2022209086）
河北省科技重大专项项目(22282203Z) （22282203Z）
唐山市科技创新团队培养计划项目(21130208D) （21130208D）
