Research on Automatic Fault Diagnosis Method of Intelligent Coal Mine Electrical and Mechanical Equipment Based on Inspection Robot
A smart diagnosis method based on inspection robots is proposed to address the problems in automatic diagnosis of faults in coal mine electrical and mechanical equipment.This method collects data from coal mine electrical and mechanical equipment through multi-sensor devices carried by inspection robots.Based on deep learning algorithms,the preprocessed data is feature extracted and fused to achieve accurate diagnosis of equipment faults.In the experimental stage,diagnostic performance tests will be conducted on commonly used hoists and fans in coal mining.The results show that the fault automatic diagnosis method based on inspection robots has significant advantages in diagnostic accuracy,which can provide technical support for the fault diagnosis of coal mine electrical and mechanical equipment and provide strong guarantees for the safe and stable operation of coal mine production.
coal mineelectrical and mechanical equipmentinspection robotdeep learning
NETL
NSTL
万方数据
