STUDY ON TOOL MONITORING SYSTEM USING WAVELET FUZZY NEURAL NETWORK

›› 1998, Vol. 34 ›› Issue (1): 59-63.

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STUDY ON TOOL MONITORING SYSTEM USING WAVELET FUZZY NEURAL NETWORK

Li Xiaoli;Yao Yingxue Yuan Zhejun

Kunming University of Science and Technology Harbin Institute of Technology

Published:1998-01-01

Abstract

Abstract: The features of vibration signal and AE signal in cutting proceeding is analyzed, the signal intrinsic features are extracted using wavelet analysis, the signals are fused and the nonlinear relationship between signal feature and tool condition is described in order to identify tool condition using new wavelet fuzzy neural network. The experimental results show it is very effective to improve tool monitoring system reliability.

Key words: AE signal, Tool monitoring, Vibration signal, Wavelet Fuzzy neural network

CLC Number:

TG502

Li Xiaoli;Yao Yingxue Yuan Zhejun. STUDY ON TOOL MONITORING SYSTEM USING WAVELET FUZZY NEURAL NETWORK[J]. , 1998, 34(1): 59-63.

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STUDY ON TOOL MONITORING SYSTEM USING WAVELET FUZZY NEURAL NETWORK

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