Prediction Method of Coal Dust Explosion Flame Propagation Characteristics Based on Principal Component Analysis and BP Neural Network

To study the flame propagation characteristics of coal dust explosion, principal component analysis and BP neural network are used to predict farthest distance maximum speed propagation. Among eight influencing factors characteristics, three components extracted named “the factor volatility,” intermediate diameter,” environmental temperature.” By using network, it is found that minimum prediction error 2.4%, 0.4%, which also proves necessity by comparing errors. The research results provide a theoretical method for predicting explosion.