Vibration-Based Pipeline Leak Detection Dataset Using Linear Discriminant Analysis (LDA)
Published: 16 February 2026| Version 1 | DOI: 10.17632/575fy2tm7k.1
Contributors:
Theophilus Oluwaseyi Ariyo, Description
This repository contains the experimental vibration data, extracted feature dataset, trained model parameters, and analysis scripts used in the study: “Vibration-Based Leak Detection in fluid Pipelines Using Linear Discriminant Analysis.” The dataset supports the results presented in the manuscript and enables full reproducibility of the experimental and machine-learning procedures.
Files
Steps to reproduce
The steps to reproduce is given in the README file
Institutions
- University of LagosLagos, Lagos
Categories
Machine Learning, Machine Learning Algorithm, Acoustic Structure, Petroleum Reservoir, Fluid Transport, Applied Fluid Mechanics, Applied Machine Learning