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桥丝式电火工品安全电流的预测
引用本文:强涛,周彬,秦志春,陈西武,田桂蓉,徐振相.桥丝式电火工品安全电流的预测[J].南京理工大学学报(自然科学版),2006,30(1):110-112.
作者姓名:强涛  周彬  秦志春  陈西武  田桂蓉  徐振相
作者单位:1. 南京理工大学,化工学院,江苏,南京,210094;西安工业学院,材料与化工学院,陕西,西安,710032
2. 南京理工大学,化工学院,江苏,南京,210094
摘    要:通过瞬态脉冲无损检测试验得到桥丝式电火工品的电阻和集总热散失系数等电热响应参数,利用这些电热响应参数分别采用Rosenthal的集总热参数模型和BP神经网络模型方法预测电火工品的安全电流。结果表明:两种方法预测的安全电流较高的电火工品,在相同的恒流脉冲下发火的概率较小。电火工品瞬态脉冲无损检测技术与BP神经网络模型方法相结合,可以用来预测电火工品的安全电流。

关 键 词:电火工品  瞬态脉冲试验  安全电流  数学模型  神经网络模型
文章编号:1005-9830(2006)01-0110-03
收稿时间:2004-08-03
修稿时间:2005-11-18

Prediction of No-firing Current of Bridgewire Electric Explosive Device
QIANG Tao,ZHOU Bin,QIN Zhi-chun,CHEN Xi-wu,TIAN Gui-rong,XU Zhen-xiang.Prediction of No-firing Current of Bridgewire Electric Explosive Device[J].Journal of Nanjing University of Science and Technology(Nature Science),2006,30(1):110-112.
Authors:QIANG Tao  ZHOU Bin  QIN Zhi-chun  CHEN Xi-wu  TIAN Gui-rong  XU Zhen-xiang
Abstract:The electric-thermal parameters of the bridgewire electric explosive device such as resistance and heat loss coefficient were measured with the non-destructive transient pulse test system under non-destructive conditions,then the no-firing current of the electric explosive device was predicated using the Rosenthal mathematical model and the back-propagation(BP) artificial neural network model.The result shows that the electric explosive devices with the higher predicated no-firing current have the smaller probability to detonate through the same pulse.The combination of the transient pulse test method with the artificial neural network model is a new way to the non-destructive test of the electric explosive device.
Keywords:electric explosive device  transient pulse test  no-firing currents  mathematical model  artificial neural network
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