A Novel Feature Selection Based on VMD and Information Gain for Pipe Blockages
Targeting the challenge of determining the degree of blockage in buried pipelines and the difficulty of effectively extracting blockage features, a blockage detection method integrating variational mode decomposition (VMD) and information gain is proposed. Acoustic impulse response signals were obta...
Enregistré dans:
Auteurs principaux: | Xuefeng Zhu, Zao Feng, Jiande Wu, Weiquan Deng |
---|---|
Format: | article |
Langue: | EN |
Publié: |
MDPI AG
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/acb54142b53d4f62b832f2315f1cf9dd |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Modeling of transient flows in viscoelastic pipe network with partial blockage
par: Parvin Chahardah-Cherik, et autres
Publié: (2021) -
Intelligent Algorithm for Variable Scale Adaptive Feature Separation of Mechanical Composite Fault Signals
par: Shu Han, et autres
Publié: (2021) -
Intelligent Fault Diagnosis and Forecast of Time-Varying Bearing Based on Deep Learning VMD-DenseNet
par: Shih-Lin Lin
Publié: (2021) -
A Bipolar Voltage Gain Boost AC-AC Converter Based on Four Switching Transistors
par: Naveed Ashraf, et autres
Publié: (2021) -
Energy Saving of Heat Gain by Using Buried Pipe Inside a Roof
par: Ahmed A. M. Saleh
Publié: (2014)