振动与冲击
振動與遲擊
진동여충격
JOURNAL OF VIBRATION AND SHOCK
2015年
15期
77-81,149
,共6页
滚动轴承%倒谱编辑%信号预白化%自互补Top-Hat变换%特征幅值能量比
滾動軸承%倒譜編輯%信號預白化%自互補Top-Hat變換%特徵幅值能量比
곤동축승%도보편집%신호예백화%자호보Top-Hat변환%특정폭치능량비
rolling bearing%cepstrum editing procedure%signal pre-whitening%self-complementary Top-Hat transformation%feature amplitude energy radio
为了消除振动信号中离散频率分量和强背景噪声对提取滚动轴承故障特征频率的干扰,提出了一种新的基于倒谱编辑(Cepstrum Editing Procedure,CEP)预白化和形态学自互补 Top-Hat 变换的方法用于滚动轴承的故障特征提取。CEP 能够去除故障振动信号中的周期性频率成分,剩余只包含背景噪声和碰撞损伤引起的非平稳冲击成分的白化信号,通过分析构造的形态学自互补 Top-Hat 变换滤波器,提出采用故障特征幅值能量比(Feature Amplitude Energy Radio, FAER)的方法自适应确定最优结构元素的尺度,预白化信号经过形态学滤波有效消除了背景噪声的干扰,提取了较为清晰的轴承故障特征频率。对实测轴承滚动体、内圈故障信号进行了分析,结果表明该方法可有效提取滚动轴承故障冲击成分并抑制噪声。
為瞭消除振動信號中離散頻率分量和彊揹景譟聲對提取滾動軸承故障特徵頻率的榦擾,提齣瞭一種新的基于倒譜編輯(Cepstrum Editing Procedure,CEP)預白化和形態學自互補 Top-Hat 變換的方法用于滾動軸承的故障特徵提取。CEP 能夠去除故障振動信號中的週期性頻率成分,剩餘隻包含揹景譟聲和踫撞損傷引起的非平穩遲擊成分的白化信號,通過分析構造的形態學自互補 Top-Hat 變換濾波器,提齣採用故障特徵幅值能量比(Feature Amplitude Energy Radio, FAER)的方法自適應確定最優結構元素的呎度,預白化信號經過形態學濾波有效消除瞭揹景譟聲的榦擾,提取瞭較為清晰的軸承故障特徵頻率。對實測軸承滾動體、內圈故障信號進行瞭分析,結果錶明該方法可有效提取滾動軸承故障遲擊成分併抑製譟聲。
위료소제진동신호중리산빈솔분량화강배경조성대제취곤동축승고장특정빈솔적간우,제출료일충신적기우도보편집(Cepstrum Editing Procedure,CEP)예백화화형태학자호보 Top-Hat 변환적방법용우곤동축승적고장특정제취。CEP 능구거제고장진동신호중적주기성빈솔성분,잉여지포함배경조성화팽당손상인기적비평은충격성분적백화신호,통과분석구조적형태학자호보 Top-Hat 변환려파기,제출채용고장특정폭치능량비(Feature Amplitude Energy Radio, FAER)적방법자괄응학정최우결구원소적척도,예백화신호경과형태학려파유효소제료배경조성적간우,제취료교위청석적축승고장특정빈솔。대실측축승곤동체、내권고장신호진행료분석,결과표명해방법가유효제취곤동축승고장충격성분병억제조성。
In order to eliminate interferences from discrete frequency components and strong background noises in vibration signals to extract fault features of rolling bearings,a new method based on combining the pre-whitening technology using cepstrum editing procedure (CEP ) and the morphology self-complementary Top-Hat (STH ) transformation theory was presented for extracting fault features of rolling bearings.CEP could eliminate periodic frequency components in fault vibration signals,and remain pre-whitening signals containing only non-stationary impact components from collision damage and background noise.Then,through analyzing the filter constructed with the morphology self-complementary Top-Hat transformation,a novel method named fault feature amplitude energy radio (FAER) was presented to adaptively select the optimal structural element (SE)scale.The interferences of background noise in pre-whitening signals were eliminated effectively with morphological filtering,and the clearer fault feature frequencies of rolling bearings were extracted.The result showed that the proposed method is effective to extract fault impact components of roll bearings and suppress noises by analyzing vibration signals of rolling bearings with ball and inner race faults.