| 人工神经网络电阻点焊质量监测模型的研究 |
| |
| 引用本文： | 方平,张勇,谭义明. 人工神经网络电阻点焊质量监测模型的研究[J]. 机械科学与技术, 2000, 19(1): 130-132 |
| |
| 作者姓名： | 方平 张勇 谭义明 |
| |
| 作者单位： | [1]南昌航空工业学院 [2]西北工业大学 |
| |
| 基金项目： | 航空高校自选课题! ( EC99B0 85 5 )，航空科研基金! ( 98H5 3 0 72 ) |
| |
| 摘 要： | 利用 BP网络对电阻点焊的动态电参数进行融合处理 ,建立了以电阻点焊动态电参数为输入空间、点焊熔核尺寸为输出空间的电阻点焊质量智能监测模型。检验结果表明 :该模型的熔核尺寸预测精度完全满足工程实际需要 ;有很大的实用价值。在网络训练中采用综合改进的 BP算法 ,使得网络的训练效率大大提高
|
| 关 键 词： | 人工神经网络 电阻点焊 质量控制 BP算法 |
| 文章编号： | 1003-8728(2000)01-0048-03 |
| 修稿时间： | 1998-12-11 |
Research on Artificial Neural Net work Quality Monitoring Model of Resistance Spot Welding |
| |
| FANG Ping,ZHANG Yong,TAN Yi ming. Research on Artificial Neural Net work Quality Monitoring Model of Resistance Spot Welding[J]. Mechanical Science and Technology for Aerospace Engineering, 2000, 19(1): 130-132 |
| |
| Authors: | FANG Ping ZHANG Yong TAN Yi ming |
| |
| Abstract: | In this paper, several dynamic electrical parameters of resistance spot welding are fused and an intelligence monitoring model of resistance spot welding quality of mild steel(1mm 1mm) is established by using the dynamic electrical parameters as the input space and the sizes of nugget as output space. The detecting results have shown that forecasting precision of the sizes of nugget can satisfy the practical need of engineering. The training efficiency of neural network was greatly increased because the BP algorithm in training neural network was comprehensively improved. |
| |
| Keywords: | Artificial neural network Resistance spot welding Quality control BP algorithm |
| 本文献已被 CNKI 维普 等数据库收录！ |
