Applicability of time-domain feature extraction methods and artificial intelligence in two-phase flow meters based on gamma-ray absorption technique
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Gholam Hossein Roshani | Mohammad Amir Sattari | Robert Hanus | E. Nazemi | Mohammad Amir Sattari | R. Hanus | G. Roshani | Ehsan Nazemi
[1] Roberto Schirru,et al. Prediction of volume fractions in three-phase flows using nuclear technique and artificial neural network. , 2009, Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine.
[2] R. Lazarov,et al. Upscaled modeling in multiphase flow applications , 2004 .
[3] G. A. Johansen,et al. On the ill-conditioning of the multiphase flow measurement by prompt gamma-ray neutron activation analysis , 2014 .
[4] César Marques Salgado,et al. Application of artificial intelligence in scale thickness prediction on offshore petroleum using a gamma-ray densitometer , 2020, Radiation Physics and Chemistry.
[5] H Roshani Gholam,et al. Designing a simple radiometric system to predict void fraction percentage independent of flow pattern using radial basis function , 2018 .
[6] M. Abouelwafa,et al. The measurement of component ratios in multiphase systems using alpha -ray attenuation , 1980 .
[7] G. Roshani,et al. A high performance gas–liquid two-phase flow meter based on gamma-ray attenuation and scattering , 2017 .
[8] Kensuke Harada,et al. Teaching a robot to use electric tools with regrasp planning , 2019, CAAI Trans. Intell. Technol..
[9] R. Schirru,et al. Flow regime identification and volume fraction prediction in multiphase flows by means of gamma-ray attenuation and artificial neural networks , 2010 .
[10] R. Hanus,et al. Application of ANN and PCA to two-phase flow evaluation using radioisotopes , 2017 .
[11] Seyed Amir Hossein Feghhi,et al. Investigation of using 60Co source and one detector for determining the flow regime and void fraction in gas–liquid two-phase flows , 2016 .
[12] Eslam Nazemi,et al. Flow regime independent volume fraction estimation in three-phase flows using dual-energy broad beam technique and artificial neural network , 2017, Neural Computing and Applications.
[13] H. J. Pant,et al. Investigation of flow dynamics of wastewater in a pilot-scale constructed wetland using radiotracer technique. , 2019, Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine.
[14] C M Salgado,et al. Density prediction for petroleum and derivatives by gamma-ray attenuation and artificial neural networks. , 2016, Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine.
[15] Seyed Amir Hossein Feghhi,et al. Optimization of a method for identifying the flow regime and measuring void fraction in a broad beam gamma-ray attenuation technique , 2016 .
[16] Maciej Kusy,et al. Identification of liquid-gas flow regime in a pipeline using gamma-ray absorption technique and computational intelligence methods , 2018 .
[17] A. Karami,et al. Investigation of different sources in order to optimize the nuclear metering system of gas–oil–water annular flows , 2018, Neural Computing and Applications.
[18] A. Savitzky,et al. Smoothing and Differentiation of Data by Simplified Least Squares Procedures. , 1964 .
[19] Seyed Amir Hossein Feghhi,et al. Precise Void Fraction Measurement in Two-phase Flows Independent of the Flow Regime Using Gamma-ray Attenuation , 2016 .
[20] Huan Wang,et al. Convolutional neural network based detection and judgement of environmental obstacle in vehicle operation , 2019, CAAI Trans. Intell. Technol..