[1]武 逵,王城宇,万书亭.基于 IGWO-MCKD-ROMP 的齿轮箱轴承故障特征提取方法[J].机械与电子,2025,(01):3-9.
 WU Kui,WANG Chengyu,WAN Shuting.Fault Feature Extraction Method of Gearbox Bearings Based on IGWO-MCKD-ROMP[J].Machinery & Electronics,2025,(01):3-9.
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基于 IGWO-MCKD-ROMP 的齿轮箱轴承故障特征提取方法()
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《机械与电子》[ISSN:1001-2257/CN:52-1052/TH]

卷:
期数:
2025年01期
页码:
3-9
栏目:
研究与设计
出版日期:
2025-01-30

文章信息/Info

Title:
Fault Feature Extraction Method of Gearbox Bearings Based on IGWO-MCKD-ROMP
文章编号:
1001-2257 ( 2025 ) 01-0003-07
作者:
武 逵 1 王城宇 2 万书亭 2
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
Author(s):
WU Kui1 WANG Chengyu2 WAN Shuting2
( 1.Huadian Zibo Thermal Power Co. , Ltd. , Zibo 255054 , China ; 2.Hebei Key Laboratory of Electric Machinery Health Maintenance and Failure Prevention , North China Electric Power University , Baoding 071003 , China )
关键词:
轴承故障特征 IGWO MCKD ROMP
Keywords:
bearing fault features IGWO MCKD ROMP
分类号:
TH133.3
文献标志码:
A
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。
Abstract:
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.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期: 2024-07-09
基金项目: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 )
作者简介:武 逵 ( 1994- ),男,山东淄博人,工学学士,助理工程师,研究方向为火电厂燃料输送设备智能检修;王城宇 ( 1996- ),男,河北保定人,博士,研究方向为旋转机械状态监测与故障诊断;万书亭 ( 1970- ),男,山西长治人,博士,教授,博士研究生导师,研究方向为旋转机械状态监测与故障诊断,通信作者。
更新日期/Last Update: 2025-03-06