Pipeline signal feature extraction with improved VMD and multi-feature fusion
This paper is concerned with the pipeline leakage detection problem. A pipeline signal feature extraction method based on improved variational mode decomposition (VMD) and multi-feature fusion are proposed. First of all, the mode number K-value of VMD decomposition is determined by combining the emp...
Main Authors: | Yina Zhou, Yong Zhang, Dandi Yang, Jingyi Lu, Hongli Dong, Gongfa Li |
---|---|
Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2020-01-01
|
Series: | Systems Science & Control Engineering |
Subjects: | |
Online Access: | http://dx.doi.org/10.1080/21642583.2020.1765218 |
Similar Items
-
Application of a noise reduction method combining AVMD and SVD in natural gas pipeline leakage signal
by: Jingyi Lu, et al.
Published: (2021-01-01) -
Power Quality Disturbance Recognition Using VMD-Based Feature Extraction and Heuristic Feature Selection
by: Lei Fu, et al.
Published: (2019-11-01) -
Pattern Recognition of Partial Discharge Based on VMD-CWD Spectrum and Optimized CNN With Cross-Layer Feature Fusion
by: Angran Gao, et al.
Published: (2020-01-01) -
Feature Extraction Algorithm Using a Correlation Coefficient Combined With the VMD and Its Application to the GPS and GRACE
by: Yifan Shen, et al.
Published: (2021-01-01) -
A Small Leak Detection Method Based on VMD Adaptive De-Noising and Ambiguity Correlation Classification Intended for Natural Gas Pipelines
by: Qiyang Xiao, et al.
Published: (2016-12-01)