期刊
APPLIED SCIENCES-BASEL
卷 9, 期 4, 页码 -出版社
MDPI
DOI: 10.3390/app9040706
关键词
carbon steel; pitting corrosion; acoustic emission; wavelets; pattern recognition
类别
资金
- Applied Basic Research Programs of Science and Technology Department of Sichuan Province [2017JY0044]
- [18TD0012]
The acoustic emission (AE) technique was applied to monitor the pitting corrosion of carbon steel in NaHCO3 + NaCl solutions. The open circuit potential (OCP) measurement and corrosion morphology in-situ capturing using an optical microscope were conducted during AE monitoring. The corrosion micromorphology was characterized with a scanning electron microscope (SEM). The propagation behavior and AE features of natural pitting on carbon steel were investigated. After completion of the signal processing, including pre-treatment, shape preserving interpolation, and denoising, for raw AE waveforms, three types of AE signals were classified in the correlation diagrams of the new waveform parameters. Finally, a 2D pattern recognition method was established to calculate the similarity of different continuous AE graphics, which is quite effective to distinguish the localized corrosion from uniform corrosion.
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