摘要
利用人工神经网络对炼油厂第三常减压蒸馏设备进行评判和预测,避开了寻找各种因素对其腐蚀性影响规律的难题,准确地预测和判断炼油厂常减压蒸馏设备腐蚀情况。通过在中石化某炼油厂第三常减压蒸馏设备的腐蚀情况分析中应用该理论,证明人工神经网络能够成功地预测和评判炼油厂常减压蒸馏设备腐蚀情况。
The refinery third distillation equipment evaluation and prediction using artificial neural network,avoid finding various factors on the corrosion of the problem,to accurately predict and judge the corrosion of crude oil distillation equipment.The application of the theory in the analysis of the corrosion of third atmospheric and vacuum distillation unit in refinery shows that the artificial neural network can predict and evaluate the corrosion of the atmospheric and vacuum distillation unit.
作者
曾文静
梁正贤
Zeng Wenjing;Liang Zhengxian(GuangXi GongLian Industrial Engineering Consulting & Desing LTD., Guangxi, 530000)
出处
《当代化工研究》
2016年第12期107-108,共2页
Modern Chemical Research
关键词
常减压蒸馏设备
腐蚀
人工神经网络
atmospheric vacuum distillation unit
corrosion
artificial neural network