齿轮振动信号分解及其在故障诊断中的应用

Gear Vibration Signal Analysis and Its Application to Fault Diagnosis

对齿轮振动信号的测试及分解进行了研究。根据信号基频,把齿轮振动信号分解为啮合振动与旋转振动,这些振动信号可用于对齿轮状态进行定量研究。基于不同形式的齿轮振动信号,介绍了几种方法来提取信号中的故障信息。利用时域平均技术及齿轮振动信号分解理论对某齿轮箱早期故障信号进行了检测。研究表明,齿轮运动信号分解能够有效检测齿轮的各类故障,高阶加速度信号对齿轮某些类型的早期故障更加敏感。

This paper describes the gear vibration test and its signal decomposition. Firstly, according to the fundamental frequency, gear vibration signal can be divided into meshing signal and rotating signal. These signals can be used to achieve a quantitative analysis of the gear condition. Secondly, based on the different forms of gear vibration signals, several methods to extract the fault information in signals are introduced. Lastly, the time domain average technique and our methods are employed to detect the early fault in a given gear. Experimental results show that gear vibration signal decomposition can detect different faults, and high-order acceleration signals are more sensitive to certain type of fault.