噪声与振动控制
譟聲與振動控製
조성여진동공제
Noise and Vibration Control
2015年
5期
159-163,175
,共6页
振动与波%局部特征尺度分解%三次Hermite插值%信号处理%故障诊断
振動與波%跼部特徵呎度分解%三次Hermite插值%信號處理%故障診斷
진동여파%국부특정척도분해%삼차Hermite삽치%신호처리%고장진단
vibration and wave%local characteristic-scale decomposition%cubic Hermite interpolation%signal processing%fault diagnosis
内禀时间尺度分解(Intrinsic time-scale decomposition，简称ITD)方法采用线性变换获得基线信号，使得分解结果出现毛刺和瞬时频率失真现象。因此，在定义瞬时频率具有物理意义的内禀尺度分量(Intrinsic scale component，简称ISC)基础上，提出基于三次Hermite插值的局部特征尺度分解方法(Cubic Hermite interpolation-Local characteristic-scale decomposition，简称CHLCD)，该方法能够自适应地将一个复杂信号分解为若干个瞬时频率具有物理意义的内禀尺度分量之和。首先对CHLCD方法的原理进行分析，然后给出采用CHLCD对信号进行分解的详细步骤，最后采用仿真信号和滚动轴承信号对CHLCD进行验证，结果表明了CHLCD方法的有效性。
內稟時間呎度分解(Intrinsic time-scale decomposition，簡稱ITD)方法採用線性變換穫得基線信號，使得分解結果齣現毛刺和瞬時頻率失真現象。因此，在定義瞬時頻率具有物理意義的內稟呎度分量(Intrinsic scale component，簡稱ISC)基礎上，提齣基于三次Hermite插值的跼部特徵呎度分解方法(Cubic Hermite interpolation-Local characteristic-scale decomposition，簡稱CHLCD)，該方法能夠自適應地將一箇複雜信號分解為若榦箇瞬時頻率具有物理意義的內稟呎度分量之和。首先對CHLCD方法的原理進行分析，然後給齣採用CHLCD對信號進行分解的詳細步驟，最後採用倣真信號和滾動軸承信號對CHLCD進行驗證，結果錶明瞭CHLCD方法的有效性。
내품시간척도분해(Intrinsic time-scale decomposition，간칭ITD)방법채용선성변환획득기선신호，사득분해결과출현모자화순시빈솔실진현상。인차，재정의순시빈솔구유물리의의적내품척도분량(Intrinsic scale component，간칭ISC)기출상，제출기우삼차Hermite삽치적국부특정척도분해방법(Cubic Hermite interpolation-Local characteristic-scale decomposition，간칭CHLCD)，해방법능구자괄응지장일개복잡신호분해위약간개순시빈솔구유물리의의적내품척도분량지화。수선대CHLCD방법적원리진행분석，연후급출채용CHLCD대신호진행분해적상세보취，최후채용방진신호화곤동축승신호대CHLCD진행험증，결과표명료CHLCD방법적유효성。
Since linear transformation is used to obtain baseline signal in intrinsic time scale decomposition (ITD) method, burr and instantaneous frequency distortion will appear in the decomposition results. Therefore, a rational Cubic Hermite interpolation—Local characteristic-scale decomposition (CHLCD) method is presented. In this method, any complex signal can be adaptively decomposed into a sum of several independent rational intrinsic scale components (ISCs), whose instantaneous frequencies have obvious physical meanings. Firstly, the principle of the CHLCD method was analyzed. Then, the detailed steps of CHLCD of signal were given. Finally, a simulation signal was adopted to verify the CHLCD method. Experimental results show that the CHLCD method can effectively decompose signals.
