小波变换的齿轮泵故障分析

A Wavelet-Based Method of Fault Analysis for Gear Pump

  • 摘要: 通过对齿轮油泵结构、性能的分析,以泵在正常运行和不同的故障状态下输出压力为信号,提出了基于小波变换的方法来提取和分离输出压力信号,并利用小波分解的方法诊断输出压力信号中包含的故障信息。以此对常用齿轮泵作仿真和试验,所呈现的压力信号三层小波分解系数均不相同,而第三层小波分解系数的差异尤其明显。因此,可利用第三层小波分解系数有效地诊断或甄别齿轮泵运行的状态和隐匿的故障,有利于掌握诊断的主动性,具有较强的实用性。

     

    Abstract: Based on the analysis of gear pump structure and capability, the wavelet transform method is proposed to detect the fault information in the pressure signal from the outlet port of the pump. According to simulation, the third level wavelet coefficients decomposed from the pressure signal in fault state are significantly different from those in normal state and can be used to effectively diagnose whether the working state of gear pump is normal or not. The results show that the wavelet transform is a practical method for fault analysis of gear pump.

     

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