摘要
利用神经网络的分析方法和高温硫腐蚀的数据积累 ,对炼油过程中的高温硫腐蚀进行分析建模 ,从系统的观点出发 ,综合考虑温度、硫或硫化氢浓度、材质和腐蚀速度之间的关系 ,为更准确的数学建模。
Artificial neural network(ANN) method for the data processing of high temperature sulfur corrosion is proposed after analyzing the general method for high temperature sulfur corrosion. A metabolism model for predicting the corrosion life by ANN is presented, which does not need all kinds of materials and environment parameters,and only needs to know a little data about environment parameters(including temperature,sulphur content and materials) and corrositivity in-service.The feasibility of this model was verified by the data from McConomy and Coaper Gorman curves.It is proved that ANN technology is applicable to the evaluation of the complicated system of high temperature sulphur corrosion, and also gives a base to develop the expert system and residual life evaluation system for high temperature sulphur corrosion.
出处
《中国腐蚀与防护学报》
CAS
CSCD
2001年第2期76-81,共6页
Journal of Chinese Society For Corrosion and Protection
基金
中国石油化工集团公司"九五"重点项目
国家重点基金研究专项!G19990 6 5 0
关键词
神经网络
高温硫腐蚀
炼油
artificial neural network
high temperature
sulphur corrosion
