Application of Fuzzy Neural Network on Fault Diagnosis of Mine Hoist
MA Xu-zhon · Coal · 2015
The method firstly inputs the fuzzy fault samples of mine hoist to the BP neural network trained in the training data. Then the specific example of hydraulic breaking system was simulated using MATLAB software toolbox. Simulation results shows that fuzzy neural network can filter out redundant information,save time and space,can well predict the fault of mine hoist,and improve the accuracy and reliability of fault diagnosis.