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A method based on the mixed potential theory is put forward to determine the polarization state of the metal with the middle potential in tri‐metals galvanic couple. The potential distribution and current density distribution of the complicated galvanic couple composed of AA5083, 20# steel, and H62 copper alloy were simulated by finite element method, and the effect of configuration position on the complicated galvanic corrosion behavior was studied, which was verified by the galvanic current measurement. The results of experiment and numerical simulation match well, indicating that the method to determine the polarization state of the metal with the middle potential is reliable, which provides the reference to modeling multi‐metals complicated galvanic corrosion.

Electrochemical emission spectroscopy (EES), an improved electrochemical noise measurement, was applied for monitoring corrosion rate of 2014 aluminium alloy in NaCl and Ce(NO3)3, and corrosion type was analysed by wavelet transform and artificial neural network. Reliability of EES was verified by monitoring corrosion of 2014 aluminium alloy in the passivation, pitting and inhibition systems, because the results from EES, linear polarization resistance technique and morphology observation were in good agreement. In order to process data obtained by EES, artificial neural network was introduced to build the relationship between wavelet results and corrosion types, and results of confusion matrix and receiver operating characteristic curve demonstrated that artificial neural network is an excellent method for intelligent recognition for corrosion type.

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