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99207 ELECTROCHEMICAL NOISE SIGNATURE ANALYSIS USING POWER AND CROSS-SPECTRAL DENSITIES

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Product Number: 51300-99207-SG
ISBN: 99207 1999 CP
Author: Abduhnajeed Ali Alawadhi, R.A. Cottis
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One of the major problems faced by desalination plants is corrosion. Various alloys have been developed, and continue to be developed to combat corrosion. Stainless steels are widely used in the desalination industry, due to their superior corrosion resistance. However, they are prone to localised corrosion in stagnant saline water. The feed water for one of the desalination plants in Bahrain is highly saline, containing reduced sulphur species. The electrochemical potential and current fluctuations for different stainless steels in different environmental conditions prevailing in the desalination plants in Bahrain have been measured. Digital signal processing and analysis methods used in other branches of science and engineering were used for the analysis and interpretation of electrochemical noise signatures. By calculating the power spectral density at various frequencies, the noise signatures were compared. The results calculated using both Fast Fourier Transform and the Maximum Entropy method agree well. The Cross spectrum between the potential and current noise reveals the frequencies held in common in addition to improving the signal to noise ratio. It is suggested that the Cross Spectral Density, which maybe related to the quantity of charge in transients, maybe indicative of localised comosion.
One of the major problems faced by desalination plants is corrosion. Various alloys have been developed, and continue to be developed to combat corrosion. Stainless steels are widely used in the desalination industry, due to their superior corrosion resistance. However, they are prone to localised corrosion in stagnant saline water. The feed water for one of the desalination plants in Bahrain is highly saline, containing reduced sulphur species. The electrochemical potential and current fluctuations for different stainless steels in different environmental conditions prevailing in the desalination plants in Bahrain have been measured. Digital signal processing and analysis methods used in other branches of science and engineering were used for the analysis and interpretation of electrochemical noise signatures. By calculating the power spectral density at various frequencies, the noise signatures were compared. The results calculated using both Fast Fourier Transform and the Maximum Entropy method agree well. The Cross spectrum between the potential and current noise reveals the frequencies held in common in addition to improving the signal to noise ratio. It is suggested that the Cross Spectral Density, which maybe related to the quantity of charge in transients, maybe indicative of localised comosion.
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