CAJ | 학술논문

小波脊线能较好地揭示信号瞬时频率变化情况.针对目前多小波脊线提取方法存在的问题,提出一种多小波脊线提取的新方法.该法通过连续小波变换得到小波尺度谱后,利用重分配算法对其进行处理,再通过奇异值分解降噪,然后通过求小波系数的模极大值点来提取各分量的小波脊线.与其它方法相比,该法更加适合于某些分量具有较大载波频率的低信噪比多分量AM-FM信号的小波脊线提取.在齿轮故障特征提取中的应用结果也验证了所提方法的有效性和实用性.
소파척선능교호지게시신호순시빈솔변화정황.침대목전다소파척선제취방법존재적문제,제출일충다소파척선제취적신방법.해법통과련속소파변환득도소파척도보후,이용중분배산법대기진행처리,재통과기이치분해강조,연후통과구소파계수적모겁대치점래제취각분량적소파척선.여기타방법상비,해법경가괄합우모사분량구유교대재파빈솔적저신조비다분량AM-FM신호적소파척선제취.재치륜고장특정제취중적응용결과야험증료소제방법적유효성화실용성.
Wavelet ridge can reveal the information about the instantaneous frequency changes of signals. According to the problems appearing in the current multi wavelet ridge extraction methods,a new method for multi wavelet ridge extraction was proposed. The wavelet scalogram was obtained by continuous wavelet transform,and reassigned by use of the corresponding reassigning algorithm. The reassigned wavelet scalogram was further denoised by the singular value decomposition and then the wavelet ridge of each component in the signal was extracted via solving modulus maxima of wavelet coefficients. Compared with other methods,the proposed one is better suitable for extracting the wavelet ridges of the multicomponents AM-FM signal with low signal-to-noise ratio,in which some component are of heavy carrier frequency modulation. The result of the application to gearbox fault characteristic extraction verifies the effectiveness and practicability of the proposed method.