Title :
Analysis of electrochemical noise signals with classical methods and methods based on fractal-like wavelets
Author :
P. Planinsic;A. Petek
Author_Institution :
Fac. of Electr. Eng. & Comput. Sci., Maribor Univ., Slovenia
fDate :
6/25/1905 12:00:00 AM
Abstract :
The corrosion process of low carbon steel and stainless steel in natural aerated sulphuric acid was examined using electrochemical noise (EN). In the paper the comparison of classical Fourier/statistical methods for analysis and characterisation of EN were compared by wavelet based methods. The approximation properties of discrete wavelet transform (DWT) using smooth and fractal-like wavelets were compared for EN-signals. There were found very little differences in approximation rates for both corrosion processes EN-signals. It was shown that DWT enable additional time-frequency characterisation of broadband EN-signals.
Keywords :
"Signal analysis","Fractals","Wavelet analysis","Corrosion","Discrete wavelet transforms","Steel","Fluctuations","Signal processing","Time frequency analysis","Noise measurement"
Conference_Titel :
Industrial Technology, 2003 IEEE International Conference on
Print_ISBN :
0-7803-7852-0
DOI :
10.1109/ICIT.2003.1290773