Cutting performance evaluation for thin seam shearer based on RBFNN

The shearer is widely used for coal mining under different geological conditions due to its high production,high efficiency and better suitability.It is necessary to effectively analyze the reliability of the shearer.Established RBF neural network in this paper,extracted the sample data by virtual prototype technology,combined with fuzzy mathematics to research evaluation,classify and predict the shearer cutting performance,the prediction results are very close to the actual evaluation.The results show that evaluation model has high accuracy and certain application value.