Research on Tool Wear Prediction of NC Machine Tools Based on Fuzzy Neural Network
The prediction of tool wear of NC machine tools based on fuzzy neural network is proposed for the efficient operation of machine tools.By the wavelet packet analysis method,the frequency band is divided into multiple levels,and the signal characteristics are used as the reference basis for selecting the frequency spectrum and frequency band to extract the tool wear characteristics.Fuzzy logic and neural network are fused and data samples are fuzzily processed,and the data form with fuzzy rules is obtained.The mapping relationship between network input and output items is described by membership functions.Aariables are input in fuzzy processing,and the five network layers of fuzzy neural network are applied to complete the prediction of tool wear of digital control machine tools.The comparison of the simulation results such as root mean square error proves that the established model can effectively adapt to the change of wear amount and accurately predict the tool wear amount It has strong reliabiliky and accuracy.
numerical control machinetool wearprediction of wear amountfuzzy neural networkfuzzly neuron
万方数据
维普
