• DocumentCode
    1666427
  • Title

    Corrosion signal processing using wavelet analysis and Nyquist diagrams

  • Author

    Lowe, Alexander M. ; Eren, Halit

  • Author_Institution
    Sch. of Appl. Chem., Curtin Univ. of Technol., Perth, WA, Australia
  • Volume
    1
  • fYear
    2002
  • fDate
    6/24/1905 12:00:00 AM
  • Firstpage
    855
  • Abstract
    Electrochemical noise (EN) analysis is a technique that can be used for monitoring corrosion processes. It is often used to obtain information relating to the rate of corrosion by use of the noise resistance and spectral noise impedance calculations. This paper demonstrates two signal processing techniques that can be applied to EN data. An example of a continuous wavelet transform of EN data obtained from a non-stationary system is given. Impedance information is extracted from wavelet transform data and compared with impedance measurements using an independent technique. The complex noise impedance, a novel EN analysis technique developed to compliment the spectral noise impedance, is also described.
  • Keywords
    Nyquist diagrams; corrosion testing; electric impedance measurement; electric noise measurement; equivalent circuits; signal resolution; spectral analysis; wavelet transforms; Nyquist diagrams; complex noise impedance; corrosion rate; corrosion signal processing; current fluctuations; electrochemical noise analysis; equivalent circuit; nonstationary system; potential fluctuations; power spectral density; spectral noise impedance; wavelet transform; Corrosion; Electric resistance; Electrical resistance measurement; Electrodes; Impedance measurement; Noise measurement; Signal analysis; Signal processing; Wavelet analysis; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Instrumentation and Measurement Technology Conference, 2002. IMTC/2002. Proceedings of the 19th IEEE
  • ISSN
    1091-5281
  • Print_ISBN
    0-7803-7218-2
  • Type

    conf

  • DOI
    10.1109/IMTC.2002.1006953
  • Filename
    1006953