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Data Analysis and Knowledge Mining of Machine Learning in Soil Corrosion Factors of the Pipeline Safety

Author(s): Zhao Z; Chen M; Fan H; Zhang N;

The purpose of this research is to enhance the ability of data analysis and knowledge mining in soil corrosion factors of the pipeline. According to its multifactor characteristics, the rough set algorithm is directly used to analyze and process the observation data without considering any prior information. We apply rough set algorithm to delete the dupl ...

Article GUID: 35571701


Application of Machine Learning in the Reliability Evaluation of Pipelines for the External Anticorrosion Coating

Author(s): Zhao Z; Chen M; Fan H; Zhang N;

The purpose of this research is to enhance the analysis of the reliability status for external anticorrosive coatings. With the limitation and insufficiency of the static evaluation method, we study and construct an evaluation method of dynamic reliability for the anticorrosive layer, integrating the trend analysis of the Markov chain and the set pair the ...

Article GUID: 35371236


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