Title :
Method using square pulse excitation for high-impedance spectroscopy of anticorrosion coatings
Author :
Hoja, Jerzy ; Lentka, Grzegorz
Author_Institution :
Dept. of Optoelectron. & Electron. Syst., Gdansk Univ. of Technol., Gdansk, Poland
Abstract :
The paper presents a method of impedance spectroscopy designed for a diagnostics of anticorrosion coatings on objects directly in the field. To shorten the time of impedance spectrum estimation (in the range from 1 mHz to 1 MHz) down to a few minutes, harmonic signals were used to determine the spectrum above 100 Hz and a square pulse in the low frequency range. To determine the impedance spectrum DSP algorithms adequate to the excitation signal were used. In the high frequency range DFT was used, but in the low frequency range continuous Fourier transformation calculated in 8 segments of acquisition, which are dependent on pulse duration time. The performed simulation tests proved the usefulness of the method for impedance spectroscopy of anticorrosion coatings with a relative error of the impedance modulus ±1% and absolute error of the impedance argument ±0.5°.
Keywords :
corrosion protective coatings; discrete Fourier transforms; electric impedance measurement; signal processing; spectroscopy; Fourier transformation; anticorrosion coating; harmonic signal; high frequency range DFT; high-impedance spectroscopy; impedance measurement; impedance spectrum DSP algorithm; impedance spectrum estimation; signal segmentation; square pulse excitation; Coatings; Digital signal processing; Discrete Fourier transforms; Electrochemical impedance spectroscopy; Frequency measurement; Impedance measurement; Paper technology; Performance evaluation; Pulse measurements; Time measurement; DFT; DSP; anticorrosion coating diagnostics; impedance measurement; impedance spectroscopy; pulse excitation;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 2009. I2MTC '09. IEEE
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-3352-0
DOI :
10.1109/IMTC.2009.5168740