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Journal of Vibration and Control
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Fractional Order Signal Processing of Electrochemical Noises

Yangquan Chen

Center for Self-Organizing and Intelligent Systems, Department of Electrical and Computer Engineering, Utah State University, Logan, UT 84322-4120 USA ,yqchen{at}ece.usu.edu

Rongtao Sun

Center for Self-Organizing and Intelligent Systems, Department of Electrical and Computer Engineering, Utah State University, Logan, UT 84322-4120 USA

Anhong Zhou

Department of Biological and Irrigation Engineering, Utah State University, 4105 Old Main Hill, Logan, UT 84322-4105 USA, azhou{at}cc.usu.edu

Nikita Zaveri

Department of Biological and Irrigation Engineering, Utah State University, 4105 Old Main Hill, Logan, UT 84322-4105 USA

The corrosion processes of stainless steel under different solutions were examined using electrochemical noise (ECN). Using rescaled range analysis, we demonstrated that ECN signals produced by corrosion processes have non-stationary and self-similar properties. The comparison and analysis of ECN signals in both the time and frequency domains showed that conventional methods failed to sufficiently distinguish between the ECN signals obtained under different solutions. Therefore, we introduced the use of fractional Fourier transforms, a powerful tool for the time-frequency analysis of self-similar signals, to process ECN signals that can better describe the corrosion behaviours of the electrode in different solutions.

Key Words: Electrochemical noise • stainless steel • self-similar signals • rescaled range analysis • fractional Fourier transform • spectral noise impedance

Journal of Vibration and Control, Vol. 14, No. 9-10, 1443-1456 (2008)
DOI: 10.1177/1077546307087438
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