Coal Mine Belt Machine Sliding Fault Analysis and Its Intelligence Test
Coal mine belt conveyor plays a very important role in coal mine production activities,while the belt conveyor in the underground operation process,the operation and maintenance work is difficult to carry out,resulting in its sliding performance under the influence of high-intensity transport operations,prone to belt deflection,skidding,longitudinal tearing,fire,broken belt and other faults.Based on this,it is necessary to continuously optimize the diagnostic technology of the belt machine failure,optimize the sliding situation of the belt machine with intelligent diagnostic technology,and improve the diagnostic efficiency of the coal mine.Based on the D-S evidence theory information fusion technology to optimize the belt machine intelligent diagnostic technology,to construct the belt machine fault intelligent diagnostic system,to realize the intelligent fusion of multi-sensor collected data,to improve the reliability of the collected data,and according to the judgement rules,to realize the belt machine fault intelligent diagnosis.
coal mine belt machinesliding faultintelligent diagnosis system
NETL
NSTL
万方数据
