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...
- 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)