CAJ | 학술논문

为实现风电机组齿轮箱及时有效地监测和维护，提出基于小波包与倒频谱分析的风电机组齿轮箱齿轮裂纹诊断方法。该方法针对齿轮裂纹振动信号为转速频率对啮合频率及其倍频调制的特点，利用小波包分解来识别振动信号中的故障特征，通过小波包频带能量监测得到故障部位的啮合频率范围；考虑到倒频谱可以分离和提取难以识别的密集调制信号的周期成分，基于倒频谱识别故障部位的转速频率，综合利用两种频谱分析方法得到的啮合频率和转速频率，能诊断故障部位和类型。实验研究表明，该方法能精确地诊断齿轮裂纹故障，并可以实现对风电机组齿轮在复杂环境中退化状态的监测，预防断齿等重大故障的发生。
위실현풍전궤조치륜상급시유효지감측화유호，제출기우소파포여도빈보분석적풍전궤조치륜상치륜렬문진단방법。해방법침대치륜렬문진동신호위전속빈솔대교합빈솔급기배빈조제적특점，이용소파포분해래식별진동신호중적고장특정，통과소파포빈대능량감측득도고장부위적교합빈솔범위；고필도도빈보가이분리화제취난이식별적밀집조제신호적주기성분，기우도빈보식별고장부위적전속빈솔，종합이용량충빈보분석방법득도적교합빈솔화전속빈솔，능진단고장부위화류형。실험연구표명，해방법능정학지진단치륜렬문고장，병가이실현대풍전궤조치륜재복잡배경중퇴화상태적감측，예방단치등중대고장적발생。
In order to monitor and maintain a turbine gearbox in time,a method to diagnose turbine gearbox gearcrack based on wavelet packet and cepstrum analysis was proposed.According to the characteristics of gear-crack vibration signals with meshing frequency and its octave modulated by rotating speed frequency,the meshing frequency range of fault positions were obtained through wavelet packet frequency-band energy monitoring.The wavelet packet decomposition was put forward to identify the fault features of the vibration signals.Considering that the cepstrum could be used to separate and extract the periodic components of the dense modulated signals being difficult to identify,and based on that it also could recognize the rotating speed-frequency of fault positions,the type and location of faults were diagnosed using meshing frequency and rotating speed frequency obtained with these two kinds of spectral analysis methods.The test results showed that the proposed method can be used to diagnose gear-crack faults accurately,and moreover,this method can be applied to monitor the degraded states of wind turbine gears in complex environment and prevent major faults,such as,broken teeth from occurring.