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

J Chin Soc Corr Pro

2005, Vol. 25

Issue (2): 106-109 DOI:

Research Report

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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

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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

Received: 10 October 2003

ZTFLH:

TG174.4

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

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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 .

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https://www.jcscp.org/EN/ OR https://www.jcscp.org/EN/Y2005/V25/I2/106

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