Corrosion Process Monitoring Using Wavelet Analysis

作者: X. D. Dai , R. L. Motard , B. Joseph , D. C. Silverman

DOI: 10.1021/IE990506U

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摘要: The objective of this paper is to explore the use wavelet transform methods in characterization and identification intensity type localized corrosion using electrochemical noise (in case, fluctuations potential). A series experiments were conducted two identical stainless steel electrodes inserted into known corrosive media. potential (electrochemical noise) generated from these monitored periodically (about every hour) over a few days. These stored blocks 1024 data points (collected at 1 Hz). They analyzed by conventional signal processing techniques time frequency domains as well time-frequency phase plane. results compared with microscopic visual examination corroded surface correlate extent corrosion. show that transforms hold promise decoding pattern. method compute plane proposed qualitative agreement experimental results.

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