The Discrete Wavelet Transform and Its Application for Noise Removal in Localized Corrosion Measurements
Joint Authors
Schorr, Michael
Bastidas, J. M.
Valdez Salas, Benjamin
Zlatev, Roumen
Ramos, Rogelio
Source
International Journal of Corrosion
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-06-04
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
The present work discusses the problem of induced external electrical noise as well as its removal from the electrical potential obtained from Scanning Vibrating Electrode Technique (SVET) in the pitting corrosion process of aluminum alloy A96061 in 3.5% NaCl.
An accessible and efficient solution of this problem is presented with the use of virtual instrumentation (VI), embedded systems, and the discrete wavelet transform (DWT).
The DWT is a computational algorithm for digital processing that allows obtaining electrical noise with Signal to Noise Ratio (SNR) superior to those obtained with Lock-In Amplifier equipment.
The results show that DWT and the threshold method are efficient and powerful alternatives to carry out electrical measurements of potential signals from localized corrosion processes measured by SVET.
American Psychological Association (APA)
Ramos, Rogelio& Valdez Salas, Benjamin& Zlatev, Roumen& Schorr, Michael& Bastidas, J. M.. 2017. The Discrete Wavelet Transform and Its Application for Noise Removal in Localized Corrosion Measurements. International Journal of Corrosion،Vol. 2017, no. 2017, pp.1-7.
https://search.emarefa.net/detail/BIM-1165101
Modern Language Association (MLA)
Ramos, Rogelio…[et al.]. The Discrete Wavelet Transform and Its Application for Noise Removal in Localized Corrosion Measurements. International Journal of Corrosion No. 2017 (2017), pp.1-7.
https://search.emarefa.net/detail/BIM-1165101
American Medical Association (AMA)
Ramos, Rogelio& Valdez Salas, Benjamin& Zlatev, Roumen& Schorr, Michael& Bastidas, J. M.. The Discrete Wavelet Transform and Its Application for Noise Removal in Localized Corrosion Measurements. International Journal of Corrosion. 2017. Vol. 2017, no. 2017, pp.1-7.
https://search.emarefa.net/detail/BIM-1165101
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1165101