Fuzzy cluster analysis constructed by numeric genetic algorithm (NGA) and its use in the evaluation of heterogeneity of temporarily protective oil coating

A fuzzy cluster analysis based on a numeric genetic algorithm (NGA) was applied for the study of the inhomogeneity of temporarily protective oil coating. Three different types of film behaviour can be assigned to the investigated temporarily protective coating: corrosive, protective and unstable. It is suggested that utilizing this method could evaluate the heterogeneity of temporarily protective oil coating more efficiently, precisely and more comprehensively.

[1]  Tan Jun,et al.  The effects of inhomogeneity in organic coatings on electrochemical measurements using a wire beam electrode: Part II , 1991 .

[2]  Salvador Pintos,et al.  Artificial neural network modeling of atmospheric corrosion in the MICAT project , 2000 .

[3]  Lionel Estel,et al.  A genetic algorithm with decimal coding for the estimation of kinetic and energetic parameters , 2000 .

[4]  Isaac Abrahams,et al.  The use of genetic algorithms in the non-linear regression of immittance data , 1998 .

[5]  Y. Tan.  A new crevice corrosion testing method and its use in the investigation of oil stain , 1994 .

[6]  Q. Zhong.  A novel electrochemical testing method and its use in the investigation of the self-repairing ability of temporarily protective oil coating , 2002 .

[7]  Q. Zhong.  Study of corrosion behaviour of mild steel and copper in thin film salt solution using the wire beam electrode , 2002 .

[8]  D. B. Hibbert,et al.  A hybrid genetic algorithm for the estimation of kinetic parameters , 1993 .

[9]  Y. Tan.  Wire beam electrode: a new tool for studying localised corrosion and other heterogeneous electrochemical processes , 1998 .

[10]  M. C. Ortiz,et al.  Genetic-algorithm-based potential selection in multivariant voltammetric determination of indomethacin and acemethacin by partial least squares , 1998 .

[11]  Robert A. Cottis,et al.  Phenomenological modelling of atmospheric corrosion using an artificial neural network , 1999 .

[12]  J. Wolstenholme.  Electrochemical methods of assessing the corrosion of painted metals—a review , 1973 .

[13]  D. B. Hibbert.  Genetic algorithms in chemistry , 1993 .

[14]  Ru-Qin Yu,et al.  Clustering data using a modified integer genetic algorithm (IGA) , 1997 .

[15]  Florian Mansfeld,et al.  Automatic classification of polymer coating quality using artificial neural networks , 1998 .

[16]  Yongjun Tan.  Monitoring Localized Corrosion Processes and Estimating Localized Corrosion Rates Using a Wire-Beam Electrode , 1998 .

[17]  Z. Qingdong,et al.  Study of anti-contamination performance of temporarily protective oil coatings using wire beam electrode , 2002 .