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Extracting Characteristics from Corrosion Surface of Carbon Steel Based on WPT and SVD

机译:基于WPT和SVD的碳钢腐蚀表面提取特征。

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In order to study the early corrosion behavior of marine carbon steel in electrolyzed ballast water, a novel approach for extracting feature of the corrosion morphology images was proposed using waveletpacket transform (WPT) and singularity value decomposition (SVD). The waveletpacket transform and the singularity value decomposition arithmetic were introduced. The characteristic parameters p_1 and p_2 were defined based on the singular value characteristic vector. The intrinsic relations between the characteristic parameters and the corrosion behavior of marine carbon steel were discussed. It has been shown that the characteristic parameters can reveal the early corrosion behavior of marine carbon steel. The parameter p_1 reflects the corrosion rate of carbon steel, which is coincident with the evolution of corrosion weight loss, the larger characteristic parameter p_1, the larger corrosion weight loss and the higher corrosion rate. The parameter p_2 reflects the size and quantity of pitting corrosion, the larger characteristic parameter p_2, the larger and few pitting corrosion. Therefore the corrosion morphology can be identified by the characteristic parameters p_ and p_2.
机译:为了研究船用碳钢在压载水中的早期腐蚀行为,提出了一种利用小波包变换(WPT)和奇异值分解(SVD)提取腐蚀形态图像特征的新方法。介绍了小波包变换和奇异值分解算法。基于奇异值特征向量定义特征参数p_1和p_2。讨论了船用碳钢的特征参数与腐蚀行为之间的内在联系。结果表明,特征参数可以揭示船用碳钢的早期腐蚀行为。参数p_1反映了碳钢的腐蚀速率,这与腐蚀失重的发展相吻合,特征参数p_1越大,腐蚀失重越大,腐蚀速率越高。参数p_2反映了点蚀的大小和数量,特征参数p_2越大,点蚀越大,点蚀越少。因此,可以通过特征参数p_和p_2来识别腐蚀形态。

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