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.
关键词
主通风机/故障诊断系统/硬件/软件/应用测试
Key words
main ventilator/fault diagnosis system/hardware/software/application testing
维普
万方数据