| Issue |
MATEC Web Conf.
Volume 413, 2025
International Conference on Measurement, AI, Quality and Sustainability (MAIQS 2025)
|
|
|---|---|---|
| Article Number | 01003 | |
| Number of page(s) | 9 | |
| Section | Advanced Measurement | |
| DOI | https://doi.org/10.1051/matecconf/202541301003 | |
| Published online | 01 October 2025 | |
Research on analytical methods for defect measurement systems in gas polyethylene pipe welded
1 College of Quality and Standardization, China Jiliang University, Hangzhou 310018, China
2 College of Energy Environment and Safety Engineering and College of Carbon Metrology, China Jiliang University, Hangzhou 310018, China
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
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.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.

