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《Chinese Journal of Mechanical Engineering》 2002-08
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DETECTION SYSTEM OF TOOL CONDITION BASED ON ARTIFICIAL NEURAL NETWORKS

Chen Chao Xu Jianlin Huang Jianlong (Gansu University of Technology)  
Detection of tool condition is meaningful in automatic manufacturing process. According to the sensitive feature parameters in close relationship with tool condition, the detection system of tool condition is set up based on artificial neural networks. Experiments show that percentage of erroneous detection is 6.3% and the system is reliable in practical. Finally, the system error is analysed and improvement direction is presented.
【CateGory Index】: TP277
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