关键词: 驱动桥；螺旋齿轮；振动监测；故障诊断；无人驾驶

Abstract: Spiral bevel gear is the key component of drive axle drive chain, and also the end core component of automobile transmission system. In the driving bridge type test, the gear fatigue test plays a dominant role. In the early stage, due to the lack of fault diagnosis equipment, most gear fatigue tests were stopped after the complete loss of transmission capacity. Accordingly, the gear teeth of spiral bevel gears were seriously damaged, which made it impossible to determine the fatigue source and cause. Therefore, it is difficult to formulate an effective design optimization scheme, which leads to repeated design verification work and climbing of development cycle and cost. In this paper, the mechanical fault diagnosis principle is introduced into the fatigue test of the drive axle gear. Combining the meshing principle of the spiral bevel gear and the transfer function characteristics of the axle housing, the gear fault online diagnosis system for the drive axle is developed independently. The system uses autocorrelation and time-domain synchronous average processing algorithms to successfully extract and identify gear fault impact signals. Through early warning and active shutdown, it greatly facilitates the analysis of gear fatigue causes and improves the development efficiency of drive axle. In addition, with the development of automobile intelligence, the drive axle fault diagnosis system can provide a firm theoretical and practical basis for driverless driving.

Key words: Axle; Spiral bevel gear; Vibration monitoring; Fault diagnosis; Driverless driving