Research on automatic mechanical monitoring of mining belt conveyor based on impact pulse sensor monitoring technology
Aiming at the problems of data deviation,data error and low accuracy of fault diagnosis in traditional mining belt conveyor bearing fault monitoring,a belt conveyor bearing fault monitoring model based on the impact pulse sensor was constructed.And then the modeling method was used to verify the actual application effect.The results showed that when iterated to 100 times,compared with long short-term memory network and time convolutional neural network,the accuracy of the modeling method was 0.08 and 0.13 higher,respectively,the convergence speed of the modeling method was faster and the loss function was smaller,indicating that the modeling method had high accuracy and feasibility in the bearing fault monitoring process of the mining belt conveyor.The model method could be applied to the real-time monitoring of the coal mine belt conveyor,and the early fault signal could be accurately obtained.
impact pulse sensormodeling methodmining belt conveyorbearingfault monitoring
NETL
NSTL
万方数据
维普
