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Abstract: 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.
Key words: Neural network Tool condition Detection
CLC No: TH164 TH277
Received 20010309, received in revised form 20011010
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