Hoist Sheave Running State Monitoring and Fault Detection Technology
In order to solve the problems of low fault detection rate and poor operation stability of mine hoist system,based on the analysis of hoist structure and common fault mechanism,a new operation state monitoring and fault detection technology of hoist sheave is proposed.The technology can realize the real-time acquisition and analysis of the vibration,yaw and temperature information of the hoist sheave during operation.At the same time,a fault judgment method of the sheave bearing based on multi-scale convolu-tional neural network is proposed.The practical application shows that the operation state monitoring and fault detection technology can realize the accurate monitoring of the hoist fault,the accuracy rate reaches 98.4%,and the operation failure rate of the hoist can be reduced by 77.6%,which is of great significance to improve the operation stability and safety of the hoist.