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Fault diagnosis of underground drainage system based on BP optimization of FPN

The purpose is to locate the fault of coal mine drainage system quickly and accurately, and then establish a fault diagnosis of the underground drainage fuzzy Petri net system model based on BP optimization algorithm. On the basis of the traditional fuzzy Petri net model, the BP optimization algorithm with momentum factor is added to improve the accuracy of the algorithm, the S-type continuous functions are used to express transitions enabling and the new tag values in out-place after transitions firing respectively. In addition, through training on the vibration signal measured, new momentum is added based on the traditional parameters correction formula to optimize the weights and thresholds in the model. Through analyzing the results of experiments, we can summarize that the proposed model can accurately and quickly locate the causes of the underground drainage system fault.