نتایج جستجو برای: pressure estimation

تعداد نتایج: 664417  

ژورنال: سلامت و محیط زیست 2018

Background and Objective: Noise pollution causes many physiological, psychological, economic and social effects on human life. This issue is more important in the environment of industrial workplaces. This research aimed to adopt the functions of GIS for evaluating and spatial analysis of noises in industrial environments. Materials and Methods: At the initial step, the spatial data for indust...

2005
Michael Reese

Aside from their value in the indirect determination of the blood pressure the sounds at the brachial artery provide other valuable clinical information. Their value in blood pressure determination in auricular fibrillation generally has been found to be limited. By using a simple technic involving the counting of the brachial-artery-sound deficit, a satisfactory, repeatable method of blood pre...

2013
Felipe Castillo Emmanuel Witrant Luc Dugard Vincent Talon

This paper develops an exhaust manifold pressure estimation method for a Diesel engine equipped with a variable geometry turbine (VGT) turbocharger. Extrapolated VGT data-maps are used directly for the estimation of the exhaust pressure using a noniterative Newton-Raphson based method suitable for real-time applications. This approach can give more accurate estimations than traditional methods ...

Journal: :Journal of the Japanese Association for Petroleum Technology 1962

2009
EDGAR CAMARGO

In this work, the Parameters Estimation in petroleum wells is presented; it is based on Intelligent Systems (neural networks and fuzzy logic). For validating the results, the estimation is applied in wells that need artificial lift using well heading data (gas and production pressure). Key-Words: neo-fuzzy models, oil system production, artificial gas lift wells, parameters estimation.

2004
M. Aboy J. McNames Óscar W. Márquez R. Hornero T. Thong B. Goldstein

We describe an algorithm to estimate and track slow changes in power spectral density (PSD) of nonstationary pressure signals. The algorithm is based on a Kalman filter that adaptively generates an estimate of the autoregressive model parameters at each time instant. The algorithm exhibits superior PSD tracking performance in nonstationary pressure signals than classical nonparametric methodolo...

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