Leak detection method of liquid-filled pipeline based on VMD and SVM
Author:
Affiliation:
1. College of Mechanical and Electrical Engineering, Harbin Engineering University, Harbin, China
2. Department of technology, CSSC Jiu Jiang Fire Equipment Co. Ltd, Jiujiang, China
Funder
National Natural Science Foundation of China
The Fundamental Research Funds for the Central Universities
Publisher
Informa UK Limited
Subject
Water Science and Technology,Geography, Planning and Development
Link
https://www.tandfonline.com/doi/pdf/10.1080/1573062X.2023.2251952
Reference35 articles.
1. Leak detection and size identification in fluid pipelines using a novel vulnerability index and 1-D convolutional neural network
2. An Anomaly Detection Model for Oil and Gas Pipelines Using Machine Learning
3. Machine learning modeling for spectral transient-based leak detection
4. Stochastic Resonance Enhancement for Leak Detection in Pipelines Using Fluid Transients and Convolutional Neural Networks
5. Feature Extraction of Leaks Signals in Plastic Water Distribution Pipes Using the Wavelet Transform
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