Pitting and uniform corrosion source recognition using acoustic emission parameters

Acoustic emission (AE) can be used to detect corrosion in various applications. In cases of severe background noise, good noise elimination techniques and source identification approaches are required to increase signal-to-noise ratio. In this paper, a new AE parameter is presented as an alternative to AE activity for classification of corrosion sources. The duration and frequency of AE signals are found to be helpful in identifying the source of pitting and uniform corrosion processes. Results are explained in terms of theories of corrosion mechanisms and AE, as well as using experiment results. Finally, new AE source-based approaches to monitor both corrosion processes are proposed.