刀具磨损估计的多传感器融合神经网络方法研究

ACTA AERONAUTICAET ASTRONAUTICA SINICA ›› 1997, Vol. 18 ›› Issue (1): 120-122.

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SENSOR FUSION VIA NEURAL NETWORKS FOR ESTIMATION OF TOOL WEAR

Zhu Mingquan, Cai Yongxia

Dept. of manufacturing Engineering,Northwestern Polytechnical University, Xi′an,710072

Received:1995-06-26 Revised:1996-01-07 Online:1997-02-25 Published:1997-02-25

Abstract

Abstract:

An information fusion from multiple sensors (acoustic emission,vibration and spindle motor power) via back propagation algorithm to estimate tool wear is presented.A simple efficient method,relevant analysis using grey model theory,is used to select the features.The influence of parameters on performance of network and the robustness with respect to noisy and inaccurate sensor information are investigated.

Key words: artificial neural network, feature selection, tool wearestimation　simulation

CLC Number:

V261. 2

Zhu Mingquan;Cai Yongxia. SENSOR FUSION VIA NEURAL NETWORKS FOR ESTIMATION OF TOOL WEAR[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 1997, 18(1): 120-122.

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SENSOR FUSION VIA NEURAL NETWORKS FOR ESTIMATION OF TOOL WEAR

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