CAJ | 학술논문

应用包络分析于轴承故障诊断的关键是选择合适的滤波频带，特别是含有复杂结构的旋转机械设备，选择不同的滤波频带的包络分析结果相差很大。针对这一问题，提出基于复数小波多尺度分解和包络分析相结合的滚动轴承故障特征提取方法。利用复数小波分解实现信号的多尺度带通滤波，然后对小波系数求模，得到信号在各个尺度上的幅值包络，再对幅值包络求傅里叶变换，得到信号的二维幅值包络谱图，从而实现信号各个频段的快速包络分析，克服了经典包络分析方法需预知故障频带的缺点。对电站送风机实测振动数据分析表明，该方法具有突出的显示微弱故障信息的能力，可以有效地识别掩藏在强干扰噪声下的故障冲击成分；复小波多尺度包络谱图的横向切片与Hilbert包络谱具有非常相似的分析效果；而在旋转频率处的纵向切片对轴承故障最敏感，适用于滚动轴承微弱故障的报警。
응용포락분석우축승고장진단적관건시선택합괄적려파빈대，특별시함유복잡결구적선전궤계설비，선택불동적려파빈대적포락분석결과상차흔대。침대저일문제，제출기우복수소파다척도분해화포락분석상결합적곤동축승고장특정제취방법。이용복수소파분해실현신호적다척도대통려파，연후대소파계수구모，득도신호재각개척도상적폭치포락，재대폭치포락구부리협변환，득도신호적이유폭치포락보도，종이실현신호각개빈단적쾌속포락분석，극복료경전포락분석방법수예지고장빈대적결점。대전참송풍궤실측진동수거분석표명，해방법구유돌출적현시미약고장신식적능력，가이유효지식별엄장재강간우조성하적고장충격성분；복소파다척도포락보도적횡향절편여Hilbert포락보구유비상상사적분석효과；이재선전빈솔처적종향절편대축승고장최민감，괄용우곤동축승미약고장적보경。
The method of multi-scale enveloping spectrogram based on complex wavelet was proposed for feature value extraction of rolling bearing faults. It combines the band-pass filtering and envelope analysis of the measured vibration signals into a single-step operation and overcomes the shortcoming of the conventional envelope analysis in which the resonance frequency of the bearing should be known in advance. The case study of blower bearing shows that the proposed approach is suitable for identification of bearing fault under complicated running condition. The feature value from vertical slice of the multi-scale enveloping spectrogram at rotating frequency is the most sensitive to a bearing fault.