Prediction of Cutting Force Using Independent Component Analysis

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Cutting force signals are very useful to evaluate the cutting state, but many disturbing factors are occurring during cutting. For the reliability of the analysis, selecting pure cutting force signals from the original ones is needed. In the current study, using the ICA(Independent Component Analysis) effective cutting force components are seperated from the original signals. And using this, as input data of MLP(Multi-Layer Perception) cutting forces are predicted Experimental results are then compared with the predicted ones to verify the validation of the proposed model.