| 基于BP神经网络的N80钢CO2腐蚀预测方法研究 |
| |
| 引用本文： | 孙丽丽,苏毅,贾蕊,王勇,张旭昀,毕凤琴.基于BP神经网络的N80钢CO2腐蚀预测方法研究[J].兵器材料科学与工程,2012,35(6):14-17. |
| |
| 作者姓名： | 孙丽丽 苏毅 贾蕊 王勇 张旭昀 毕凤琴 |
| |
| 作者单位： | 东北石油大学材料系,黑龙江大庆,163318;大庆石化公司检测公司,黑龙江大庆,163714 |
| |
| 基金项目： | 国家科技重大专项十二五规划课题 |
| |
| 摘 要： | 采用灰度数据矩阵统计、小波变换和二值化等方法对N80钢CO2腐蚀图像进行特征提取。结合BP神经网络技术,以腐蚀图像的各向异性和小波变换后子图像的能量参数作为腐蚀类型判据,建立基于BP神经网络的孔蚀速率诊断模型,实现了CO2腐蚀类型和腐蚀程度的预测。诊断结果与实验结果较好吻合。
|
| 关 键 词： | BP神经网络 腐蚀形貌 N80钢 CO2腐蚀 |
Prediction of CO2 corrosion in N80 steel based on BP artificial neural networks methods |
| |
| SUN Lili
,
SU Yi
,
JIA Rui
,
WANG Yong
,
ZHANG Xuyun
,
BI Fengqin.Prediction of CO2 corrosion in N80 steel based on BP artificial neural networks methods[J].Ordnance Material Science and Engineering,2012,35(6):14-17. |
| |
| Authors: | SUN Lili SU Yi JIA Rui WANG Yong ZHANG Xuyun BI Fengqin |
| |
| Affiliation: | 1(1.Department of Materials Science and Engineering,Northeast Petroleum University,Daqing 163318,China; 2.Detection Company,Daqinq Petrochemical Company,Daqing 163714,China) |
| |
| Abstract: | The carbon dioxide corrosion morphologies of N80 steel were extracted using grey level data matrix statistic,wavelet transform and image binarizing methods.In combination with the multiplayer feed forward neural networks,a pitting velocity diagnosis model was developed based on the anisotropic energy parameter of corrosion images and the image energy parameter after wavelet transform.The type and degree of carbon dioxide corrosion were forecasted based on this model.The diagnosis model agreed well with the testing results. |
| |
| Keywords: | BP artificial neural network corrosion morphology N80 steel CO2 corrosion |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
|
