中文摘要：

为了提取早期数据的故障信息,对大型机电设备进行预知的故障诊断,针对某高线轧机近期发生的一次辊箱齿轮打齿故障,采用基于经验模式分解(empirical mode decomposition,简称EMD)技术和Hilbert包络解调分析相结合的方法,获得了早期裂纹故障信息被清晰提取的结果.对机械早期故障振动信号的分析结果表明,基于EMD的分解技术加包络解调法能有效地提取机械故障振动信号的特征,利于提早发现故障隐患.

英文摘要：

The gear partial fault s typical characteristic is the modulated sideband.The traditional demodulation technology can distinguish the gears later period fault characteristic,but it is actually helpless to the incipient fault.In order to withdraw the fault information of the incipient data,and carry on the foreknowledge effectively to the fault diagnosis of the large-scale electromechanical device,this paper centered on a ruptured tooth fault which occured in the near past in a grum gear of a high speed ro...