CAJ | 학술논문

针对通过二进离散小波变换计算出的Lipschitz指数不够精确且不能描述奇异点能量的不足，提出了模极大值点能量法并用于信号的奇异性检测。通过仿真证明采用该方法不仅能准确定位奇异点发生的位置，并且能描述其能量。将该方法应用于发动机曲轴轴承故障诊断时，为了突出局部时间段的信号特征，采用抽区间采样方法抽取特定时间段的信号。试验结果表明，两种方法的结合能有效区分出曲轴轴承的不同技术状况，并得出最佳诊断部位和最佳检测转速。
침대통과이진리산소파변환계산출적Lipschitz지수불구정학차불능묘술기이점능량적불족，제출료모겁대치점능량법병용우신호적기이성검측。통과방진증명채용해방법불부능준학정위기이점발생적위치，병차능묘술기능량。장해방법응용우발동궤곡축축승고장진단시，위료돌출국부시간단적신호특정，채용추구간채양방법추취특정시간단적신호。시험결과표명，량충방법적결합능유효구분출곡축축승적불동기술상황，병득출최가진단부위화최가검측전속。
In view of the defects of Lipschitz exponent calculated by discrete dyadic wavelet transform ( in-sufficient accuracy and incapability in expressing energy) , a method of“energy at modulus maxima points” is pro-posed for singularity detection of signals. It is proved by simulation that the method can not only locate the singular points but also describe their energy. For giving prominence of the signal features of local time segment in applying the method to the fault diagnosis of engine crankshaft bearings, the scheme of extract time interval sampling is a-dopted to extract the signals in specific time segment. Test results show that the combination of“energy at modulus maxima points” method with extract time interval sampling scheme can effectively distinguish different technical con-ditions of crankshaft bearings with the best location for diagnosis and the best rotating speed for detection obtained.