小波奇异性检测在机械故障诊断技术中的应用

Singularity Detection of Wavelet Transform and Its Application in Mechanical Failure Diagnosis

信号中不规则的突变部分往往载有设备运行状态特征的重要信息,它是信号重要的特征之一。譬如,在机械故障诊断中,故障通常表现为输出信号发生突变。因而对突变点的检测,通常叫奇异性检测,在故障诊断中有非常重要的意义。文中介绍了奇异性检测的基本原理、典型仿真信号分析,以及在轴承故障诊断中的一例实际应用。

The singular part of anomalistic in signals often carries important information on characteristics of equipment operating condition, it is one of the important characteristics of signal. For example, in the course of mechanical failure diagnosis, the fauhs usually behave as the suddenly change of output signal. So, detecting to the point of singularity, which is usually called singularity detection, is very important in the field of faults diagnosis.