基于声发射和振动信号的振动钻削钻头故障诊断试验研究

针对钻削过程中钻头状态监测问题，基于声发射采集系统和振动采集系统设计超声轴向振动钻削钻头故障监测装置，分别应用完整钻头和故障钻头进行45钢板的超声振动钻削对比试验，采集不同钻头状态的AE和振动信号，通过时域分析、频域分析和小波分解，分析故障钻头对AE和振动信号的影响。试验结果表明：通过AE和振动信号判别钻头状态，判别结果与实际一致，能够实现钻头的故障诊断。

Research on Fault Diagnosis of Vibration Drilling Bit Blade Cracking Based on AE Signal

Aiming at the problem of bit condition monitoring in drilling process, based on acoustic emission acquisition system and vibration acquisition system, a fault monitoring device for ultrasonic axial vibration drilling bit was designed. The contrast test of ultrasonic vibration drilling for 45 steel plates was carried out by using complete bit and fault bit respectively. AE and vibration signals of different bit states were collected. Through time domain analysis, frequency domain analysis and wavelet decomposition, the influence of fault bit on AE and vibration signal was analyzed. The test results show that the state of drill bit can be distinguished by AE and vibration signals, and the result is consistent with the actual situation. The fault diagnosis of drill bit can be realized.