Search Results - pressure estimation methods algorithm*
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DEVELOPMENT AND TESTING OF UNIVERSAL PRESSURE DROP MODELS IN PIPELINES USING ABDUCTIVE AND ARTIFICIAL NEURAL NETWORKS
Published 2011“…It was found that (by the Group Method of Data Handling algorithm), length of the pipe, wellhead pressure, and angle of inclination have a pronounced effect on the pressure drop estimation under these conditions. …”
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Improved measurement of blood pressure by extraction of characteristic features from the cuff oscillometric waveform
Published 2015“…Substantial reduction in the mean and standard deviation of the blood pressure estimation errors were obtained upon artifact removal. …”
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Evaluation of Formation Damage from Transient Pressure Analysis: Unsteady State Skin Factor
Published 2011“…An analytical solution is obtained in Laplace space and is inverted using Stehfest Algorithm. The actual skin factor is obtained as the difference in dimensionless pressure at the well of the composite system and that of the homogeneous system at the same dimensionless time. …”
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An approximate method for solving unsteady transitional and rarefied flow regimes in pulsed pressure chemical vapor deposition process using the quiet direct simulation method
Published 2023“…In this paper, the QDS method is used to simulate highly unsteady low pressure flows encountered in a Pulsed Pressure Chemical Vapor Deposition (PP-CVD) reactor. …”
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Determination of permeability characteristics of solid/liquid separation using simplex algorithm
Published 2013“…For efficacy evaluation of this estimation method, the permeability data of zinc oxide were determined using the method. …”
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Real time self-calibration algorithm of pressure sensor for robotic hand glove system
Published 2019“…The proposed method was achieved using one-hour calibration data set of pressure sensor in real time. …”
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Artifact identification for blood pressure and photoplethysmography signals in an unsupervised environment / Lim Pooi Khoon
Published 2020“…In this study, an automated artifact detection algorithm was developed for Blood Pressure and PPG signals. …”
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Reconstruction of flow rate history using linear regression
Published 2023“…The dataset used to evaluate the performance of the proposed method was obtained from a real producing field. This study indicated the high performance of linear regression at estimating missing flow rate history using available pressure readings in the dataset. …”
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Pipeline condition assessment by instantaneous frequency response over hydroinformatics based technique—An experimental and field analysis
Published 2021“…The HHT processing algorithm has been successfully proven through simulation and experimentally tested to evaluate the ability of pressure transient analysis to predict and locate the leakage in the pipeline system. …”
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Estimation of boiler's tubes life, Artificial Neural Networks approach / Murtadha F. Muhsen
Published 2011“…Predicted values of the remnant tube life were compared to the experimentally collected data to verify the success of the algorithm; average absolute error obtained was 1.667%. …”
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A comparative study of supervised machine learning approaches for slope failure production
Published 2023“…Generally, slope failure can be estimated based on traditional methods such as limit equilibrium method (LEM) or finite equilibrium method (FEM). …”
Conference Paper -
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SVM, ANN, and PSF modelling approaches for prediction of iron dust minimum ignition temperature (MIT) based on the synergistic effect of dispersion pressure and concentration
Published 2021“…Therefore, in this study, the predictability comparisons have been made with the different machine learning methods used to model the MIT for iron dust. The MIT of iron dust was determined using the Godbert-Greenwald furnace for seventy unique combinations of dispersion pressures and dust concentrations. …”
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The Modelling Of Tyre Rotation Behaviour With Tyre Pressure Monitoring System
Published 2017“…Lastly, the pneumatic pressure level inside the tyre was captured and the result accuracy is further ensured with reversed engineering method with ± 20 kpa from project tolerance. …”
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Prediction of abrasive waterjet machining of sheet metals using artificial neural network
Published 2022“…The present study attempts to predict the surface roughness during the waterjet machining process for a successful cutting of sheet metals using low pressure. Artificial neural network model was used as the method for prediction. …”
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Prediction of abrasive waterjet machining of sheet metals using artificial neural network
Published 2022“…The present study attempts to predict the surface roughness during the waterjet machining process for a successful cutting of sheet metals using low pressure. Artificial neural network model was used as the method for prediction. …”
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Prediction of PVT properties in crude oil systems using support vector machines
Published 2023Conference paper -
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Modeling of cupping suction system based on system identification method
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