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| Data Mining of Atmospheric Corrosion Based on Wavelet Correlation Analysis Framework |
| Received:January 30, 2021 Revised:February 24, 2021 |
| View Full Text View/Add Comment Download reader |
| DOI：10.7643/issn.1672-9242.2021.07.018 |
| KeyWord:atmospheric corrosion environmental factors wavelet transform wavelet coherence |
| Author | Institution |
| NA Zhong-li |
School of Automation and Electrical Engineering,Beijing , China |
| FU Dong-mei |
School of Automation and Electrical Engineering,Beijing , China ;Beijing Engineering Research Center of Industrial Spectrum Imaging, Beijing , China |
| MENG Jin-tao |
School of Automation and Electrical Engineering,Beijing , China |
| PEI Zi-bo |
Institute for Advanced Materials and Technology, University of Science and Technology Beijing, Beijing , China |
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| Abstract: |
| Aimed at the problem that the corrosion data in atmospheric corrosion is typically complex and not easy to analyze, a wavelet-based correlation analysis framework is proposed to mine the changing characteristics of corrosion and its influenc factors. First, the wavelet power spectrum is used to determine the periodic fluctuation characteristics of the corrosion data. Then, the correlation strength, lead-lag, and phase relationship of corrosion and environmental factors are analyzed using the wavelet coherence spectrum. Finally, the average wavelet coherence and the percent area of significant coherence are used to select the environmental factors of high degree relevance to corrosion. Moreover, corrosion data of carbon steel in Qingdao is taken as the specified object for mining the influence of temperature, relative humidity, rainfall and pollutants on the initial corrosion behavior. Corrosion of carbon steel has obvious daily fluctuation characteristics, and temperature and relative humidity are the main environmental factors that cause its fluctuations; corrosion exhibits intermittent fluctuations at the time of rainfall and the rainfall leads corrosion; the lower concentration of pollutants makes its impact on the corrosion of carbon steel weaker. The wavelet-based correlation analysis framework effectively shows the changing characteristics of complex corrosion data and its relationship with environmental factors. It provides a new way for a deep understanding of atmospheric corrosion laws. |
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