Fault Diagnosis System for Main Ventilation Fans on Coal Mine Ground
In order to improve the ability of early warning and monitoring of operating parameters of the main ventilation fans in coal mines,multi-sensor monitoring technology was used to monitor the operating parameters and ventilation parameters of the main ventilation fans.The monitoring parameters were comprehensively compared with the diagnostic knowledge base data constructed based on BP(Back Propagation)neural network to determine the type of fault and achieve early warning.The overall structure,hardware,and software of the main ventilation fan fault diagnosis system were designed.After engineering application,the fault diagnosis system ran smoothly and could achieve real-time collection,remote transmission,monitoring and early warning of the operation and ventilation parameters of the main ventilation fan,enhancing the reliability of the main ventilation fan operation.
main ventilation fanfault warningsensorsdiagnostic system
万方数据
维普
