Design and Research of Fault Diagnosis System for Hydraulic Support Electrohydraulic Control System
In view of the issues of artificial troubleshooting is mainly used by hydraulic support electrohydraulic control system faults,random and individual faults being unable to be troubleshooted in place,low faults troubleshooting efficiency during the process of faults troubleshooting and so on.A big data decision analysis service platform based on Hadoop is constructed,and a data fault diagnosis engine with parallel algorithm as the core is designed.The C4.5 decision tree classification algorithm is improved based on MapReduce,and the hardware equipment of the electrohydraulic control system is technology transformed intelligently.The test results show that the C4.5 decision tree classification prediction engine extracts electromagnetic pilot valves,controllers,pressure sensors,and travel sensors.The research of fault characteristic curves shows that the fault diagnosis system can effectively identify and diagnose various faults in the electrohydraulic control system.This system is used during the 12605 working face mining of the southern sixth mining area of Guandi Mine.The hydraulic control system faults can be effectively monitored through computer software in the centralized control room.The fault diagnosis has good reliability and high intelligent degree,greatly improving the maintenance efficiency of hydraulic control system faults.
hydraulic supportelectrohydraulic control systemfault diagnosisbig dataintelligent renovation