Research on analytical methods for defect measurement systems in gas polyethylene pipe welded

Welded defects in gas polyethylene pipelines exhibit low occurrence frequency and high variability, and the traditional attribute measurement analysis method fails to assess their performance comprehensively. A two-tiered progressive attribute measurement analysis model is proposed. Initially, key statistical measures for assessment agreement ( P a , Cohen’s Kappa, and Fleiss’ Kappa) were systematically evaluated to identify those suitable for various analysis tiers. Subsequently, the application of Cohen’s Kappa and Fleiss’ Kappa across varying levels of agreement was examined, and thresholds for sample size selection were established. Lastly, an attribute measurement analysis model for gas polyethylene pipeline welded defects is developed: the first tier is based on preliminary assessment and data filtering regarding the presence of welded defects; the second tier employs weighted kappa analysis to quantitatively assess agreement on specific defect types, This results in a comprehensive evaluation of the performance of the measurement system.

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Publication Details

Journal
MATEC Web of Conferences
Published
2025-01-01
DOI
https://doi.org/10.1051/matecconf/202541301003
Primary Topic
Advanced Sensor Technologies Research
Type
article
Field-Weighted Citation Impact
0.00

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article

Research on analytical methods for defect measurement systems in gas polyethylene pipe welded

Yun Seob Song, Juan Zhou, Haiting Zhou, Zhilong Yu et al.
MATEC Web of Conferences
Advanced Sensor Technologies Research
article

Research on analytical methods for defect measurement systems in gas polyethylene pipe welded

Yun Seob Song, Juan Zhou, Haiting Zhou, Zhilong Yu, Chuanming Zong, Jiayan Chen, Qiang Wang
article en

Abstract

Welded defects in gas polyethylene pipelines exhibit low occurrence frequency and high variability, and the traditional attribute measurement analysis method fails to assess their performance comprehensively. A two-tiered progressive attribute measurement analysis model is proposed. Initially, key statistical measures for assessment agreement ( P a , Cohen’s Kappa, and Fleiss’ Kappa) were systematically evaluated to identify those suitable for various analysis tiers. Subsequently, the application of Cohen’s Kappa and Fleiss’ Kappa across varying levels of agreement was examined, and thresholds for sample size selection were established. Lastly, an attribute measurement analysis model for gas polyethylene pipeline welded defects is developed: the first tier is based on preliminary assessment and data filtering regarding the presence of welded defects; the second tier employs weighted kappa analysis to quantitatively assess agreement on specific defect types, This results in a comprehensive evaluation of the performance of the measurement system.

MATEC Web of ConferencesVol. 413
China Jiliang University (CN)
National Key Research and Development Program of China
Openalex Percentile: Top 74%
Advanced Sensor Technologies Research
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