涂层失效过程电化学阻抗谱的神经网络分析

中国腐蚀与防护学报

2005, Vol. 25

Issue (2): 106-109

研究报告

本期目录 | 过刊浏览

涂层失效过程电化学阻抗谱的神经网络分析

高志明;宋诗哲;徐云海

天津大学材料科学与工程学院

ELECTROCHEMICAL IMPEDANCE SPECTROSCOPY ANALYSIS OF COATING DETERIORATION PROCESS WITH KOHONEN NEURAL NETWORKS

Zhiming Gao;Shizhe Song;Yunhai Xv

天津大学材料科学与工程学院

全文: PDF(131 KB)

摘要: 在涂层失效过程的研究中，对长期浸泡于电解质溶液中试片的电化学阻抗谱 (EIS) 进行分析，提出了利用Bode图幅频特性曲线斜率做为评价参数的方法。以幅频特性斜率曲线作为Kohonen神经网络的输入，将涂层失效过程自适应的被分为5个连续子过程，并将学习后的网络用于涂层失效过程阻抗谱分析。结果表明不同类型涂层失效过程不同，可用建立的神经网络对涂层性能进行评价。

关键词 ：电化学阻抗谱(EIS), Kohonen神经网络, 涂层失

Abstract：The Electrochemical impedance spectroscopy (EIS) of the simulated specimens with different coatings was studied. The slope of log impedance modulus |Z| versus log f was put forward as characteristic parameter k（f）. The deterioration process was divided into five sub processes by using Kohonen neural networks. The input of the networks is k（f）of different samples at different immersed time. The coating state can be defined by the output of the networks. Therefore the output can be considered as the quality index of the coating to some extent. The result indicates that the degradation process varies with different coatings and preparation techniques. The network proves to be useful to evaluate the coating performance.

Key words： neural networks EIS coating deterioration

收稿日期: 2003-10-10

ZTFLH:

TG174.4

通讯作者: 高志明 E-mail: gaozhiming@eyou.com

Corresponding author: Zhiming Gao E-mail: gaozhiming@eyou.com

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引用本文:

高志明; 宋诗哲; 徐云海 . 涂层失效过程电化学阻抗谱的神经网络分析[J]. 中国腐蚀与防护学报, 2005, 25(2): 106-109 .
Zhiming Gao, Shizhe Song, Yunhai Xv. ELECTROCHEMICAL IMPEDANCE SPECTROSCOPY ANALYSIS OF COATING DETERIORATION PROCESS WITH KOHONEN NEURAL NETWORKS. J Chin Soc Corr Pro, 2005, 25(2): 106-109 .

链接本文:

https://www.jcscp.org/CN/ 或 https://www.jcscp.org/CN/Y2005/V25/I2/106

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