Utilizing Features Extracted from Registered 60Co Gamma-Ray Spectrum in One Detector as Inputs of Artificial Neural Network for Independent Flow Regime Void Fraction Prediction
Author:
Publisher
Springer Science and Business Media LLC
Subject
Physics and Astronomy (miscellaneous)
Link
http://link.springer.com/content/pdf/10.1007/s12647-018-0298-9.pdf
Reference45 articles.
1. Y. Jiang, and K.S. Rezkallah, An experimental study of the suitability of using a gamma densitometer for void fraction measurements in gas-liquid flow in a small diameter tube, Meas. Sci. Technol., 4 (1993) 496–505.
2. Y. Murai, S. Ohta and A. Shigetomi, et al., Development of an ultrasonic void fraction profiler. Meas Sci Technol, 20 (2009). https://doi.org/10.1088/0957-0233/20/11/114003 .
3. V. Mosorov, Flow pattern tracing for mass flow rate measurement in pneumatic conveying using twin plane electrical capacitance tomography. Part Syst Charact, 25 (2008) 259–265. https://doi.org/10.1002/ppsc.200700034 .
4. G. Rojas and M.R. Loewen, Fiber-optic probe measurements of void fraction and bubble size distributions beneath breaking waves, Exp Fluids, 43 (2007) 895–906. https://doi.org/10.1007/s00348-007-0356-5 .
5. E. Abro, and G.A. Johansen, Improved void fraction determination by means of multibeam gamma-ray attenuation measurements. Flow Measurement and Instrumentation, 10(2) (1999) 99–108.
Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. GRU-Based Fusion Models for Enhanced Blood Pressure Estimation From PPG Signals;IEEE Access;2024
2. A conformable artificial neural network model to improve the void fraction prediction in helical heat exchangers;International Communications in Heat and Mass Transfer;2023-11
3. A new method of gamma level gauge using a position-sensitive sensor with rod plastic scintillator;Measurement;2023-06
4. Investigation of Time-Domain Feature Selection and GMDH Neural Network Application for Determination of Volume Percentages in X-Ray-Based Two-Phase Flow Meters;MAPAN;2022-07-12
5. Calculation of volume fractions regardless scale deposition in the oil industry pipelines using feed-forward multilayer perceptron artificial neural network and MCNP6 code;Applied Radiation and Isotopes;2022-07
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3