基于Fast-SC和EC的滚动轴承故障检测

TH17%TH133.33+2; 解调分析的关键在于准确找到合适的解调频带,针对此问题,提出一种基于快速谱相关(fast spectral correlation,简称Fast-SC)和包络谱谱峰因子(crest of envelope spectrum,简称EC)的解调频带确定方法,应用于滚动轴承故障检测.首先,对信号进行Fast-SC计算,采用考虑滚动体滑移误差的故障频率区间作集成谱相关切片并将其作为目标谱相关曲线,根据其最大值确定解调频带的中心频率搜索中心;其次,用同时考虑冲击信号强度与周期性的EC进行频带优化选择,自适应获得优化的滤波参数组;最后,根据所得滤波参数组对信号进行带通滤波,...

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Published in振动、测试与诊断 Vol. 43; no. 3; pp. 578 - 583
Main Authors 杨新敏, 郭瑜, 伍星
Format Journal Article
LanguageChinese
Published 云南机电职业技术学院 昆明,650203 01.06.2023
昆明理工大学机电工程学院 昆明,650500%昆明理工大学机电工程学院 昆明,650500
Subjects
快速谱相关
集成谱相关切片
解调频带
特征频率
包络谱谱峰因子
Online AccessGet full text
ISSN1004-6801
DOI10.16450/j.cnki.issn.1004-6801.2023.03.022

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Abstract TH17%TH133.33+2; 解调分析的关键在于准确找到合适的解调频带,针对此问题,提出一种基于快速谱相关(fast spectral correlation,简称Fast-SC)和包络谱谱峰因子(crest of envelope spectrum,简称EC)的解调频带确定方法,应用于滚动轴承故障检测.首先,对信号进行Fast-SC计算,采用考虑滚动体滑移误差的故障频率区间作集成谱相关切片并将其作为目标谱相关曲线,根据其最大值确定解调频带的中心频率搜索中心;其次,用同时考虑冲击信号强度与周期性的EC进行频带优化选择,自适应获得优化的滤波参数组;最后,根据所得滤波参数组对信号进行带通滤波,并求其包络谱,实现轴承故障特征频率提取.仿真和实验表明,与Autogram解调算法相比,所提方法降噪能力更强,解调频带的选择更优.
AbstractList TH17%TH133.33+2; 解调分析的关键在于准确找到合适的解调频带,针对此问题,提出一种基于快速谱相关(fast spectral correlation,简称Fast-SC)和包络谱谱峰因子(crest of envelope spectrum,简称EC)的解调频带确定方法,应用于滚动轴承故障检测.首先,对信号进行Fast-SC计算,采用考虑滚动体滑移误差的故障频率区间作集成谱相关切片并将其作为目标谱相关曲线,根据其最大值确定解调频带的中心频率搜索中心;其次,用同时考虑冲击信号强度与周期性的EC进行频带优化选择,自适应获得优化的滤波参数组;最后,根据所得滤波参数组对信号进行带通滤波,并求其包络谱,实现轴承故障特征频率提取.仿真和实验表明,与Autogram解调算法相比,所提方法降噪能力更强,解调频带的选择更优.
Author 郭瑜
杨新敏
伍星
AuthorAffiliation 昆明理工大学机电工程学院 昆明,650500%昆明理工大学机电工程学院 昆明,650500;云南机电职业技术学院 昆明,650203
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Keywords 快速谱相关
集成谱相关切片
解调频带
特征频率
包络谱谱峰因子
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Publisher 云南机电职业技术学院 昆明,650203
昆明理工大学机电工程学院 昆明,650500%昆明理工大学机电工程学院 昆明,650500
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Snippet TH17%TH133.33+2; 解调分析的关键在于准确找到合适的解调频带,针对此问题,提出一种基于快速谱相关(fast spectral correlation,简称Fast-SC)和包络谱谱峰因子(crest of...
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Title 基于Fast-SC和EC的滚动轴承故障检测
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