基于IGWO-MCKD-ROMP的齿轮箱轴承故障特征提取方法  

Fault Feature Extraction Method of Gearbox Bearings Based on IGWO-MCKD-ROMP

作　　者：武逵 王城宇 万书亭[2] WU Kui;WANG Chengyu;WAN Shuting(Huadian Zibo Thermal Power Co.,Ltd.,Zibo 255054,China;Hebei Key Laboratory of Electric Machinery Health Maintenance and Failure Prevention,North China Electric Power University,Baoding 071003,China)

机构地区：[1]华电淄博热电有限公司,山东淄博255054 [2]华北电力大学河北省电力机械装备健康维护与失效预防重点实验室,河北保定071003

出　　处：《机械与电子》2025年第1期3-9,共7页Machinery & Electronics

基　　金：国家自然科学基金资助项目(52275109);河北省自然科学基金资助项目(E2022502007)。

摘　　要：针对齿轮箱滚动轴承在故障诊断过程中,存在采样数据过大、故障特征提取效果不佳的问题,提出一种基于最大相关峭度解卷积(MCKD)和正则化正交匹配追踪算法(ROMP)的轴承振动信号特征提取方法。首先,通过引入改进的灰狼优化算法(IGWO),实现了MCKD和ROMP算法中参数的自适应选择;然后,利用IGWO对原始信号进行MCKD降噪处理;最后,利用IGWO-ROMP实现对信号的重构,通过对信号进行包络分析,实现对轴承故障特征的提取。仿真和实验分析结果表明,该方法能够有效提取轴承故障成分,为轴承故障特征提取及诊断提供一种新思路。In response to the issue of excessive sampling data and poor fault feature extraction performance in the fault diagnosis process of gearbox rolling bearings,a bearing vibration signal feature extraction method is proposed based on a regularized orthogonal matching pursuit(ROMP)algorithm based on maximum correlation kurtosis deconvolution(MCKD).Firstly,the adaptive selection of parameters in the MCKD and ROMP algorithms is achieved by adopting an Improved Grey Wolf Optimization(IGWO)algorithm;then,the IGWO is used to denoise the original signal through MCKD processing;finally,IGWO-ROMP is utilized to reconstruct the signal and diagnose bearing faults through envelope analysis of the signal.Verified by simulation signals and experimental results,this method can effectively extract weak bearing fault components,providing a new approach for the diagnosis of weak bearing fault signals.

关 键 词：轴承 故障特征 IGWO MCKD ROMP 

分 类 号：TH133.3[机械工程—机械制造及自动化]