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SUBBANDS ENERGY CHARACTERISTICS OFELECTROCHEMICAL NOISE DURING HIGH-PURITYALUMINUM CORROSION IN Cl- SOLUTION |
Zhesheng Feng;Jinjv Chen;Yun`` Lu |
电子科技大学微电子与固体电子学院 |
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Abstract Various concepts developed in the framework of wave let transforms have been adapted to the analysis of electrochemical noise measur ements (ENM).These new mathematic methods are proposed as an alternative tool to overcome the limitations of FFT in the analysis of ENM.In this paper,a new desc ription method of electrochemical noise (EN)using feature vector subbands' energ y obtained by wavelet packets decomposition was described.Both PSD obtained by FFT method and subbands' energy were applied to study the EN signals during high -purity aluminum corrosion in Cl- solution under potentiostatic conditions.Fro m PSD characteristics,it was found that if the immersion time in Cl- solution was prolonged,the activity life of pit nucleus shortened,but the passivation tim e of pit nucleus lengthened,and SO2-4 only influenced the frequency of p it nucleus appeared.Compared with FFT method,subbands' energy feature vector can describe the high frequency “fingerprint” characteristics of EN signals,which can offer an enhanced ability to categorize different corrosion systems,differe nt corrosion types and different corrosion intensity.
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Received: 22 April 2002
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Corresponding Authors:
Zhesheng Feng
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