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涂层失效过程电化学阻抗谱的神经网络分析
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
作者姓名:高志明  宋诗哲  徐云海
作者单位:1. 天津大学材料学院,天津,300072
2. 天津大学材料学院,天津,300072;金属腐蚀与防护国家重点实验室,沈阳,110016
基金项目:国家重点基础研究发展规划项目 (G19990 65 0 )
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 涂层失效
文章编号:1005-4537(2005)02-0106-04

ELECTROCHEMICAL IMPEDANCE SPECTROSCOPY ANALYSIS OF COATING DETERIORATION PROCESS WITH KOHONEN NEURAL NETWORKS
GAO Zhiming,SONG Shizhe,XU Yunhai. ELECTROCHEMICAL IMPEDANCE SPECTROSCOPY ANALYSIS OF COATING DETERIORATION PROCESS WITH KOHONEN NEURAL NETWORKS[J]. Journal of Chinese Society For Corrosion and Protection, 2005, 25(2): 106-109
Authors:GAO Zhiming  SONG Shizhe  XU Yunhai
Affiliation:GAO Zhiming 1,SONG Shizhe 1,2,XU Yunhai 1
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 for 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.
Keywords:neural networks  EIS  coating deterioration
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