This paper proposes a new combined model to predict the spindle deformation, which combines the grey models and the ANFIS\n(adaptive neurofuzzy inference system) model.The grey models are used to preprocess the original data, and the ANFIS model is\nused to adjust the combined model. The outputs of the grey models are used as the inputs of theANFISmodel to train the model.\nTo evaluate the performance of the combined model, an experiment is implemented. Three Pt100 thermal resistances are used\nto monitor the spindle temperature and an inductive current sensor is used to obtain the spindle deformation.The experimental\nresults display that the combined model can better predict the spindle deformation compared to BP network, and it can greatly\nimprove the performance of the spindle.
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