Milling Wear Monitoring Study Based on Cutting Power

Abstract

Multi-parameter signals of the milling tools wear are pretreated. Using feature fusion pattern, structural levels project of the signal level, the model level, the characteristic level and class structure are established. The optical control strategies of the tools compensation system is proposed through training samples fuzzy wavelet neural network… (More)

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