An abductive network for predicting tool life in drilling

An abductive network for predicting tool life in drilling
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DOI:
10.1109/iacet.1995.527647
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发表时间:
1995-05
期刊:
Proceedings IEEE Conference on Industrial Automation and Control Emerging Technology Applications
影响因子:
--
通讯作者:
B. Lee;I.S. Liu;Y. Tarng
B. Lee;I.S. Liu;Y. Tarng
中科院分区:
其他
文献类型:
--
作者:
B. Lee;I.S. Liu;Y. Tarng

文献摘要

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本文提出了一种预测钻井作业中刀具寿命的溯因网络。溯因网络由若干功能节点组成。这些功能节点被很好地组织起来,形成一个最佳的网络结构,通过使用预测平方误差(PSE)标准。一旦钻头直径,切削速度和进给速度给定,刀具寿命可以预测的基础上开发的网络。实验结果表明,该方法能有效地预测不同切削条件下的钻头寿命,预测误差小于9%。
The paper presents an abductive network for predicting tool life in drilling operations. The abductive network is composed of a number of functional nodes. These functional nodes are well organized to form an optimal network architecture by using a predicted squared error (PSE) criterion. Once the drill diameter, cutting speed, and feedrate are given, the tool life can be predicted based on the developed network. Experimental results have shown that the abductive network can be effectively used to predict drill life under varying cutting conditions and the prediction error of drill life is less than 9%.