Leak detection and size identification in fluid pipelines using a novel vulnerability index and 1-D convolutional neural network

Leak detection and size identification in fluid pipelines using a novel vulnerability index and 1-D convolutional neural network

This paper proposes a leak detection and size identification technique in fluid pipelines based on a new leak-sensitive feature called the vulnerability index (VI) and 1-D convolutional neural network (1D-CNN). The acoustic emission hit (AEH) features can differentiate between normal and leak operat...

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Bibliographic Details
Main Authors: Zahoor Ahmad, Tuan-Khai Nguyen, Jong-Myon Kim
Format: Article
Language:English
Published: Taylor & Francis Group 2023-12-01
Series:Engineering Applications of Computational Fluid Mechanics
Subjects:
Pipelines
acoustic emission
leak detection
1-D convolutional neural network
Online Access:https://www.tandfonline.com/doi/10.1080/19942060.2023.2165159

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