A New Extensible Feature Matching Model for Corrosion Defects Based on Consecutive In-Line Inspections and Data Clustering

A New Extensible Feature Matching Model for Corrosion Defects Based on Consecutive In-Line Inspections and Data Clustering

Corrosion is considered a leading cause of failure in pipeline systems. Therefore, frequent inspection and monitoring are essential to maintain structural integrity. Feature matching based on in-line inspections (ILIs) aligns corrosion data across inspections, facilitating the observation of corrosi...

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Bibliographic Details
Main Authors: Mohamad Shatnawi, Péter Földesi
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Applied Sciences
Subjects:
pipeline integrity
corrosion management
directional epsilon neighborhood clustering (DENC)
affine transformation
linear optimization
linear programming
Online Access:https://www.mdpi.com/2076-3417/15/6/2943
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