农业机械学报
農業機械學報
농업궤계학보
TRANSACTIONS OF THE CHINESE SOCIETY OF AGRICULTURAL MACHINERY
2010年
3期
209-214
,共6页
故障诊断%特征提取%主减速器%形态小波%非线性%Hilbert包络
故障診斷%特徵提取%主減速器%形態小波%非線性%Hilbert包絡
고장진단%특정제취%주감속기%형태소파%비선성%Hilbert포락
Fault diagnosis%Feature extraction%Main reducer%Morphological wavelet%Nonlinear%Hilbert envelope analysis
针对形态小波分解过程的抽样引起信号长度逐层递减的问题,提出一种基于多尺度形态开闭级联滤波的形态非抽样小波构造方法.利用形态非抽样小波的一般框架,采用形态开闭级联滤波作为形态非抽样小波分解的近似信号的分析算子,使形态小波分解过程中信号长度保持不变,从而保证了形态分析时所需的信息量.主减速器振动信号特征提取试验验证了该方法能够有效提取非线性振动信号的特征,较原形态非抽样小波和线性小波有更好的滤波效果,较Hilbert包络方法有更好的解调效果.
針對形態小波分解過程的抽樣引起信號長度逐層遞減的問題,提齣一種基于多呎度形態開閉級聯濾波的形態非抽樣小波構造方法.利用形態非抽樣小波的一般框架,採用形態開閉級聯濾波作為形態非抽樣小波分解的近似信號的分析算子,使形態小波分解過程中信號長度保持不變,從而保證瞭形態分析時所需的信息量.主減速器振動信號特徵提取試驗驗證瞭該方法能夠有效提取非線性振動信號的特徵,較原形態非抽樣小波和線性小波有更好的濾波效果,較Hilbert包絡方法有更好的解調效果.
침대형태소파분해과정적추양인기신호장도축층체감적문제,제출일충기우다척도형태개폐급련려파적형태비추양소파구조방법.이용형태비추양소파적일반광가,채용형태개폐급련려파작위형태비추양소파분해적근사신호적분석산자,사형태소파분해과정중신호장도보지불변,종이보증료형태분석시소수적신식량.주감속기진동신호특정제취시험험증료해방법능구유효제취비선성진동신호적특정,교원형태비추양소파화선성소파유경호적려파효과,교Hilbert포락방법유경호적해조효과.
In order to explore methods that can process effectively nonlinear signals, the nonlinear wavelet, morphological wavelet (MW) was introduced into the field of vibration signal processing.Because of the decline of decomposition signal layer by layer, one kind of morphological un-decimated wavelet construction method based on the cascade of morphological opening and morphological closing was proposed.According to the general structure of morphological un-decimated wavelet (MUDW), the filtered signal, filtering by the cascade of morphological opening and morphological closing, constructed the approximate signal, and detail signal was equal to the original signal subtract the approximate signal.Obviously through the process of decomposing, the approximate signal or detailed signal of current layer and low level layer had the same data length to avoid information leaking and provide enough information for signal processing.The method was used in the feature extraction of vibration signal in automobile main reducer.Results showed that the mentioned MUDW had better filtering effect than the existing MUDW and linear wavelet (sym8 wavelet), and it also had better demodulation effect than Hilbert envelope analysis.The mentioned MUDW can extract the feature from nonlinear vibration signal effectively and have good application value.