基于分布式光纤声波传感器的带式输送机托辊故障监测方法

Roller Fault Monitoring of Belt Conveyor Using Distributed Fiber-Optic Acoustic Sensor

研究了一种基于分布式光纤声波传感器(DAS)的托辊监测方法,用于带式输送机托辊故障识别。在论述利用DAS检测托辊故障振动特征信号原理的基础上,搭建胶带长度为30 m的带式输送机测试系统平台,模拟托辊卡死、无轴承、断裂等不同故障情况进行实验测试数据采集。通过对采集的声音信号进行时域和频域分析,提取不同故障下的特征量,实现托辊的故障识别。实验结果表明,利用DAS技术可以检测带式输送机托辊故障振动特性监测,在工业带式输送机托辊故障监测方面具有应用前景。

A roller monitoring method based on a distributed fiberoptic acoustic sensor(DAS)is investigated to identify roller faults in a belt conveyor.Based on the principle of using a DAS to detect the fault vibration characteristic signal of an idler,a belt conveyor test system with a belt length of 30 m is constructed to simulate different fault conditions,such as idler jamming,no bearing,and fracture for experimental data collection.By analyzing the collected sound signals in the time and frequency domains,the characteristic quantities under different faults are extracted to identify the faults in the idler.The experimental results show that the DAS can detect the fault vibration characteristics of the belt conveyor idler and has application prospect in the fault monitoring of industrial belt conveyor idler.