基于振动分析的传动系统智能监测方法研究

Fault Diagnosis of Mine Hoist System Based on Vibration Test

本文以矿井提升机为研究对象,研究了传动系统(驱动电机、减速器、卷筒)正常运转情况下,依托于振动传感信号进行振动数据采集,并通过批量信号幅值域、时域、频域分析对设备运行状态进行智能监测和故障诊断。通过实验和基于大数据信号分析得出的结论与实际情况大致吻合,从而验证了此方法对于大型旋转机械的传动系统检测有一定参考价值。

Based on the mine hoist,this paper studies the large data acquisition based on the vibration sensing signal under the normal operation of the transmission system(driving motor,reducer and drum),and monitors and diagnoses the equipment operation state through the analysis of batch signal amplitude domain,time domain and frequency domain.Through experiments and big data signal analysis,the conclusions are roughly consistent with the actual situation,which verifies that this method has a certain reference value for the transmission system detection of large rotating machinery.