Increasing the Efficiency of a Control System for Detecting the Type and Amount of Oil Product Passing through Pipelines Based on Gamma-Ray Attenuation, Time Domain Feature Extraction, and Artificial Neural Networks.

导出 OA

翻译打印收藏纠错

作者： Abdulilah Mohammad,Mayet ^[1] ; Seyed Mehdi,Alizadeh ^[2] ; Zana Azeez,Kakarash ^[3] ; Ali Awadh,Al-Qahtani ^[4] ; Abdullah K,Alanazi ^[1] ; John William,Grimaldo Guerrero ^[5] ; Hala H,Alhashimi ^[6] ; Ehsan,Eftekhari-Zadeh ^[7]

作者单位： Electrical Engineering Department, King Khalid University, P.O. Box 394, Abha 61411, Saudi Arabia. ^[1] Petroleum Engineering Department, Australian College of Kuwait, West Mishref 13015, Kuwait. ^[2] Department of Computer Science, Kurdistan Technical Institute, Sulaymaniyah 46001, Iraq. ^[3] Department of Engineering, Faculty of Engineering and Computer Science, Qaiwan International University, Sulaymaniyah 46001, Iraq. ^[4] Department of Chemistry, Faculty of Science, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia. ^[5] Department of Energy, Universidad de la Costa, Barranquilla 080001, Colombia. ^[6] Department of Physics, College of Science, Imam Abdulrahman Bin Faisal University, P.O. Box 1982, Dammam 31441, Saudi Arabia. ^[7] Institute of Optics and Quantum Electronics, Friedrich Schiller University Jena, Max-Wien-Platz 1, 07743 Jena, Germany. ^[8]

关键词 RBF neural network detection system dual-energy gamma source feature extraction oil and polymeric fluids

DOI 10.3390/polym14142852

PMID 35890628

发布时间 2022-07-31

翻译满意度评价：

准确一般字义偏差语意偏离译文作用小提交