The chaos theory was used to analyze electrochemical noise (EN) data for corrosion detection during coating degradation and stress corrosion cracking (SCC) process and insightful results were achieved by correlation dimensional characterization of localized corrosion. Analysis of electrochemical potential noise (EPN) during corrosion degradation of novolac epoxy coated on tinplate indicated that number of correlation dimensions corresponding to EPN tended to increase as localized corrosion accelerated. In addition

chaos phase space reconstruction was employed to analyze stress corrosion EN of 304 stainless steel (SS) and to characterize SCC process via correlation dimensions. The results showed that phase space trajectory resembled spherical shape in the initial SCC stage and then changed to elliptical shape in the later SCC stage. The increase of correlation dimension during crack initiation and propagation revealed increment in uncertainty and complexity of EN signals.