用神经网络算法预测氢蚀孕育期

中国腐蚀与防护学报

2001, Vol. 21

Issue (6): 368-373

研究报告

本期目录 | 过刊浏览

用神经网络算法预测氢蚀孕育期

金鹰;董超芳;付冬梅

北京科技大学表面科学与腐蚀工程系

ARTIFICIAL NEURAL NETWORK TECHNOLOGY FORTHE DATA PROCESSING OF HYDROGEN ATTACK

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北京科技大学表面科学与腐蚀工程系

全文: PDF(179 KB)

摘要: 利用神经网络的分析方法，对高温氢腐蚀进行分析建模，综合考虑温度、氢分压和氢腐蚀孕育期之间的关系，为准确的数学建模、预测设备的使用寿命和相应专家系统的研制开拓了新的思路.〖JP〗

关键词 ：神经网络, 氢腐蚀, 腐蚀

Abstract：Artificial neural networks are forms of artificial intelligence that learn correlative patterns between input and output informatio n without a specific model. Then they use the learned relationships to make pred ictions. Five back-propagation artificial neural networks were constructed to re cognize certain relationships in hydrogen attack to predict the time to incubate fissuring of 0.5Mo and carbon steel. Given the two parameters, environmental te mperature and hydrogen pressure, these neural network models can offer a predict ion with certain accuracy. The feasibility of the model was verified by the data from papers. It is proved that the ANN technology is applicable to the evaluati on of the complicated system of hydrogen attack, and also gives a base to develo p the expert system and residual life evaluation system for hydrogen attack.

Key words： artificial neural network hydrogen attack corrosion

收稿日期: 2000-06-22

ZTFLH:

TG172.83

通讯作者: 金鹰

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引用本文:

金鹰; 董超芳; 付冬梅 . 用神经网络算法预测氢蚀孕育期[J]. 中国腐蚀与防护学报, 2001, 21(6): 368-373 .

链接本文:

https://www.jcscp.org/CN/Y2001/V21/I6/368

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