Pipeline reliability assessment method and application based on probability distribution model

Yaxing Wen, Pengcheng Liu, Tan Lv, Yaquan Qi, Feng Wang,Jinzhong Chen,Yilai Ma

2022 4th International Conference on Machine Learning, Big Data and Business Intelligence (MLBDBI)(2022)

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Abstract
The pipeline inline inspection has accumulated a large amount of inspection data, in order to make full use of the existing inspection data and explore the potential value of the data, the paper introduces the probability distribution method for in-depth analysis of the inspection data, and establishes a pipeline reliability assessment model based on the probability distribution. The results show that the length, width, axial corrosion rate and radial corrosion rate of the pipeline corrosion defects all obey the generalized extreme value distribution, and the reliability of the pipeline is also evaluated.
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Key words
probability distribution,reliability assessment,data processing,
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