基于FOA-MCKD的分步拉伸一体机轴承故障诊断方法  

Bearing Fault Diagnosis of Step Stretcher Based on FOA-MCKD

作　　者：曹泽 黄新宇 刘莉 曹悦川 CAO Ze;HUANG Xin-yu;LIU Lil;CAO Yue-chuan(CRRC Yongji Electric Co.,Ltd.;Shanxi Provincial Key Laboratory of Rail Transit Traction Motor;Kunshan Yuncheng Plastic Co.,Ltd.)

机构地区：[1]中车永济电机有限公司 [2]轨道交通牵引电机山西省重点实验室 [3]昆山运城塑业有限公司

出　　处：《化工自动化及仪表》2024年第3期438-442,共5页Control and Instruments in Chemical Industry

基　　金：国家重点研发计划(批准号:2020YFB2007905)资助的课题;山西省科技计划(批准号:2020XXX012)资助的课题;太原市2021年揭榜项目(批准号:202107)资助的课题。

摘　　要：针对分步拉伸一体机大负载、低转速工况特点,在分析轴承故障诊断难点的基础上,提出一种用于分步拉伸机轴承的故障诊断方法。以最大相关峭度解卷积(MCKD)信号的包络谱作为适应度函数,利用果蝇优化算法(FOA)自适应地选择MCKD滤波器参数;之后,对处理后的信号通过包络解调分析出分步拉伸机轴承故障诊断类型。通过信号分析与轴承拆解,确定了轴承故障类型为电蚀导致的外圈故障,也验证了所提方法的有效性。In this paper,considering characteristics of the large load and low-speed working conditions of the step stretcher and basing on analyzing the difficulties in bearing fault diagnosis,a bearing fault diagnosis method for step stretcher was proposed and verified,in which,having the envelope spectrum of the maximum correlation kurtosis deconvolation(MCKD)signal taken as the fitness function,and the fruit fly optimization algorithm(FOA)used to adaptively select the MCKD filter parameters was implemented,including having fault diagnosis types of the step stretcher's bearing analyzed through envelope demodulating of the processed signal.Through signal analysis and bearing disassembly,the bearing fault type was determined as the outer ring fault caused by electrical erosion,and the effectiveness of the method proposed in this paper was verified.

关 键 词：FOA-MCKD 故障诊断 分步拉伸机 轴承 

分 类 号：TH133.33[机械工程—机械制造及自动化] TP181[自动化与计算机技术—控制理论与控制工程]