Application of Wavelet Feature Extraction and Artificial Neural Networks for Improving the Performance of Gas-Liquid Two-Phase Flow Meters Used in Oil and Petrochemical Industries

Hosseini, SiavashSiavashHosseiniTaylan, OsmanOsmanTaylanAbusurrah, MonaMonaAbusurrahAkilan, ThangarajahThangarajahAkilanNazemi, EhsanEhsanNazemiEftekhari-Zadeh, EhsanEhsanEftekhari-ZadehBano, FarheenFarheenBanoRoshani, Gholam HosseinGholam HosseinRoshani2022-02-102021-11-272022-02-1020212073-4360WOS:000718975400001https://imec-publications.be/handle/20.500.12860/38481Application of Wavelet Feature Extraction and Artificial Neural Networks for Improving the Performance of Gas-Liquid Two-Phase Flow Meters Used in Oil and Petrochemical IndustriesJournal article10.3390/polym13213647WOS:000718975400001GAMMA-RAY ATTENUATIONVOID FRACTION MEASUREMENTABSORPTION TECHNIQUEPOWER-AMPLIFIERANNULAR REGIMEPHASE DENSITYIDENTIFICATIONOPTIMIZATIONRECOGNITIONPREDICTIONMEDLINE:34771204