Research on pipeline leakage signal denoising using variational mode decomposition and energy value-Reference-Cited by-同舟云学术

Research on pipeline leakage signal denoising using variational mode decomposition and energy value

Published:2023-12-15 Issue: Volume: Page:1-17
ISSN:1091-6466
Container-title:Petroleum Science and Technology
language:en
Short-container-title:Petroleum Science and Technology

Author:

Wang Dongmei¹²³,Sun Ying¹²,Xiao Jianli¹²^ORCID,Lu Jingyi¹²³⁴^ORCID

Affiliation:

1. SANYA Offshore Oil & Gas Research Institute, Northeast Petroleum University, Sanya, China

2. College of Electrical and Information Engineering, Northeast Petroleum University, Daqing, China

3. Heilongjiang Provincial Key Laboratory of Networking and Intelligent Control, Daqing Heilongjiang, China

4. Artificial Intelligence Energy Research Institute, Northeast Petroleum University, Daqing Heilongjiang, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Hainan Province

"Chunhui Plan" cooperative scientific research project of the Ministry of Education

Hainan Province Science and Technology Special Fund

Natural Science Foundation of Heilongjiang Province

Hainan Provincial Joint Project of Sanya Yazhou Bay Science and Technology City

Guiding Innovation Foundation of Northeast Petroleum University

Publisher

Informa UK Limited

Subject

Geotechnical Engineering and Engineering Geology,Energy Engineering and Power Technology,Fuel Technology,General Chemical Engineering,General Chemistry

Link

https://www.tandfonline.com/doi/pdf/10.1080/10916466.2023.2292248

Reference29 articles.

1. Acoustic emission source location in complex structures using full automatic delta T mapping technique

2. Reliability of non-destructive test techniques in the inspection of pipelines used in the oil industry

3. The design of a novel mother wavelet that is tailor-made for continuous wavelet transform in extracting defect-related features from reflected guided wave signals

4. Variational Mode Decomposition

5. Forecasting exchange rate using Variational Mode Decomposition and entropy theory

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