Pipeline signal feature extraction with improved VMD and multi-feature fusion-Reference-Cited by-同舟云学术

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Pipeline signal feature extraction with improved VMD and multi-feature fusion

Published:2020-01-01 Issue:1 Volume:8 Page:318-327
ISSN:2164-2583
Container-title:Systems Science & Control Engineering
language:en
Short-container-title:Systems Science & Control Engineering

Author:

Zhou Yina¹,Zhang Yong²,Yang Dandi¹,Lu Jingyi¹,Dong Hongli¹,Li Gongfa³

Affiliation:

1. Institute of Complex Systems and Advanced Control, Heilongjiang Provincial Key Laboratory of Networking and Intelligent Control, Northeast Petroleum University, Daqing, People's Republic of China

2. College of Electronic Science, Northeast Petroleum University, Daqing, People's Republic of China

3. Key Laboratory of Metallurgical Equipment and Control Technology of Ministry of Education, Wuhan University of Science and Technology, Wuhan, People's Republic of China

Funder

National Natural Science Foundation of China

NSFC

Natural Science Foundation of Heilongjiang Province of China

Northeast Petroleum University

Wuhan University of Science and Technology

Publisher

Informa UK Limited

Subject

Artificial Intelligence,Control and Optimization,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/21642583.2020.1765218

Reference26 articles.

1. Variational Mode Decomposition

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4. Research on pipeline leakage signal denoising using variational mode decomposition and energy value;Petroleum Science and Technology;2023-12-15

5. Improvement of VMD for anomalous collision disturbance based on nonlinear l _1/2 norm;Measurement Science and Technology;2023-07-31

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