关键词: 齿轮, 非线性, LMD, 能量熵, 全矢, 故障特征

Abstract:

Gear vibration  signals  in the events  of failure were  often  non-stationary,non-linear.Energy  structure  would change in the fault signals,leading to different energy in different  frequency bands.LMD  was used  to  extract energy entropy of the vibration signals,and energy entropy was used as failure evaluation standards  for fault classification.It is easy to be misdiagnosed with the traditional single channel signal diagnostic method.Full vector LMD energy entropy integrated two-channel homologous  informations  of vibration signals, and reduced the misdiagnosis rate.Through  experiments  the gear  normal state,tooth root crack,broken teeth,missing teeth were simulated,and it is proved that with full vector LMD energy entropy as fault feature can achieve good fault classification results.

Key words: gear;non-linear;LMD(local , mean decomposition);energy entropy;full vector;fault feature