Introducing the effective features using the particle swarm optimization algorithm to increase accuracy in determining the volume percentages of three-phase flows

What is presented in this research is an intelligent system for detecting the volume percentage of three-phase fluids passing through oil pipes. The structure of the detection system consists of an X-ray tube, a Pyrex galss pipe, and two sodium iodide detectors. A three-phase fluid of water, gas, an...

Full description

Autores:

Chen, Tzu-Chia
Alizadeh, Mehdi
Albahar, Marwan
Thanoon, Mohammed
Alammari, Abdullah
Grimaldo Guerrero, John William
nazemi, ehsan
Eftekhari-Zadeh, Ehsan

Tipo de recurso:

Article of investigation

Fecha de publicación:

2023

Institución:

Corporación Universidad de la Costa

Repositorio:

REDICUC - Repositorio CUC

Idioma:

eng

OAI Identifier:

oai:repositorio.cuc.edu.co:11323/10218

Acceso en línea:

https://hdl.handle.net/11323/10218
https://repositorio.cuc.edu.co/

Palabra clave:

Volume fraction
PSO
MLP neural network
Feature extraction
Wavelet
Frequency domain
Artificial intelligence

Rights

openAccess

License

Atribución 4.0 Internacional (CC BY 4.0)