基于角度域同步平均和阶次分析的低速斜齿轮故障诊断

Fault diagnosis algorithm for helical gear rotating at low speed on angular domain synchronous average and order tracking analysis

为了准确识别转速波动的斜齿轮早期故障特征,提出了基于光电编码器等角度采样的角度域同步平均降噪与阶次分析相结合的故障诊断方法。首先基于时域同步平均原理提出了角度域同步平均算法,采用光电编码器作为外触发器对时域信号进行等角度采样,然后将重采样信号在角度域内进行同步平均,消除与给定频率无关的周期信号和随机噪声的干扰,再利用阶次分析提取故障特征,最后通过斜齿轮点蚀故障诊断试验验证了该方法的有效性。

In order to accurately identify the early fault feature of helical gear,a new diagnosis algorithm is proposed based on the angular domain synchronous average and order tracking analysis.First,employing the concept of time domain synchronous average,an algorithm of angular domain synchronous average is put forward to reduce the noise interference.Using optical encoder as the external trigger,the vibration signals is angular domain are obtained by resampling the vibration signals of time domain according to the encoder pulse.By angular domain synchronous average processing,the irrelevant periodic signals and noise interference are reduced.Then,the fault features of helical gear rotating at low speed are extracted by the order tracking analysis.Experiment results of pitting fault diagnosis verify the effectiveness of the proposed algorithm.