Design of Fault Diagnosis System for Main Ventilator on Coal Mine Ground
In order to accurately and efficiently diagnose the faults of the ground main ventilator,a neural network-based coal mine main ventilator fault diagnosis system was designed based on the main structure and common types of faults of the ventilator.The hardware and software parts of the system were designed in detail and tested,proving that the system can not only accurately and efficiently locate the faults of the coal mine main ventilator,but also save the time for finding faults of the main ventilator.Moreover,the operation of the system was stable and reliable,with good application effects and promotion value.
main ventilatorfault diagnosis systemhardwaresoftwareapplication testing
万方数据
维普
