迭代时间重排同步压缩变换及其在机械故障诊断中的应用

Iterative time-rearrangement synchrosqueezing transform and its application to mechanical equipment fault diagnosis

机械设备常运行在复杂环境下,往往受到时变载荷、时变转速、瞬态冲击等非平稳工况的影响,导致故障时有发生。时频分析技术可以兼顾时间和频率两个变量,得到了广泛应用。然而传统时频分析方法在提高时频聚集性和减弱交叉项之间存在矛盾,为了实现复杂环境下机械设备的故障诊断,提出迭代时间重排同步压缩变换方法。在时间重排同步压缩变换的基础上构造新的群延时估计算子,然后只需进行一次重排操作即可获得更锐利的时频表示。通过仿真信号和滚动轴承加速寿命试验数据验证所提方法的有效性。

Mechanical equipment often operates in complex environments and is often affected by non-stationary working conditions such as time-varying loads,time-varying speeds,and transient shocks,resulting in failures from time to time.Time frequency anal⁃ysis technology can take time and frequency into account,and has been widely used.However,the traditional time-frequency analy⁃sis method has a contradiction between the improvement of the aggregation and the reduction of the cross term.In order to realize the fault diagnosis of mechanical equipment in complex environment,Iterative Time rearrangement Synchrosqueezing Transform method is extracted.Firstly,a new group delay estimation operator is constructed based on Time-rearrangement Synchrosqueezing Transform,and then a sharper time-frequency representation can be obtained by only one rearrangement operation.The effective⁃ness of the proposed method is verified by simulation signals and accelerated life test data of rolling bearings。