摘要
为了检测催化裂化装置所产干气中Ｃ３以上烃类的总含量，利用人工神经网络（ＡＮＮ＇ｓ）的方法建立了在线检测模型，并对影响模型检测精度的因素进行了分析。在实际生产装置上运行的结果表明，用此模型可以迅速、准确地检测出干气中Ｃ３以上烃类的总含量，可以满足在线检测的要求。
In order to detect 3 carbon content in the dry gas of FCC unit, a model was created by artificial neural network, and the factors affected the precision of detection were also analyzed. A test on the production unit proved that the model can be used to detect 3 carbon content in the dry gas of FCC unit quickly and accurately, which met the demand of on line measurement.
出处
《石油炼制与化工》
CAS
CSCD
北大核心
1998年第12期34-37,共4页
Petroleum Processing and Petrochemicals
关键词
检测系统
催化裂化
干气
变压吸附
碳3
烃含量
artificial intelligence, on line, measuring system, dry gas, catalytic cracking, 3 carbon
