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Tags: K-means++

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Research on corrosion defect identification and risk assessment of well control equipment based on a machine learning algorithm

In recent years, the risk assessment of well control equipment has faced some problems, such as shallow defect detection depth, large identification error of corrosion defect type, inaccurate equipment corrosion assessment, and so on. To solve the…

Tags: K-means++, KNN, Machine learning, Pulse magnetic flux leakage testing, Risk assessment

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