Application Analysis of Mine Ventilator Operation State Diagnosis System
Aiming at the lack of fault diagnosis and early warning mechanism during the operation of mine ventilation system,which leads to the high failure rate of fan operation and causes big hidden danger to the safety of underground ventilation,a new abnormal state diagnosis system for mine ventilation fan is proposed,which realizes the automatic diagnosis and analysis of the fan operation state by the way of the time domain feature parameter and the judgment of convolutional neural network.According to the practical application,the accuracy of the fan abnormal state diagnosis system in judging the abnormal state of the fan reaches 98.6％,which greatly improves the reliability of fan operation.
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