Research on analytical methods for defect measurement systems in gas polyethylene pipe welded
Year: 2025
Type: conference-paper
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 (Pa, 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.
Source: MATEC Web of Conferences
Authors: Chenjia Zong, Juan Zhou, Qiang Wang, Zhilong Yu, Haiting Zhou, Yun Song, Jiayan Chen
Institution: China Jiliang University
Language: English
Subfield: Statistics, Probability and Uncertainty
Field: Decision Sciences
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4414708363
