Experimental Design for Linear Steady-State Models – Screening Designs

2021 ◽  
pp. 355-362
Author(s):  
R. Russell Rhinehart ◽  
Robert M. Bethea
Keyword(s):  
Steady State ◽  
Experimental Design ◽  
Screening Designs ◽  
State Models

Fluctuations and noise in kinetic systems III. Cycling steady-state models

1975 ◽  
Vol 55 (1) ◽  
pp. 229-243 ◽  
Author(s):  
Yi-der Chen
Keyword(s):  
Steady State ◽  
State Models

scholarly journals Flame Failures and Recovery in Industrial Furnaces: A Neural Network Steady-State Model for the Firing Rate Setpoint Rearrangement

2018 ◽  
Vol 2018 ◽  
pp. 1-15
Author(s):  
Tahmineh Adili ◽  
Zohreh Rostamnezhad ◽  
Ali Chaibakhsh ◽  
Ali Jamali
Keyword(s):  
Neural Network ◽  
Steady State ◽  
Optimization Problems ◽  
Network Models ◽  
Economic Loss ◽  
Neural Network Models ◽  
Firing Rates ◽  
State Models ◽  
Major Equipment ◽  
Artificial Neural Network Models

Burner failures are common abnormal conditions associated with industrial fired heaters. Preventing from economic loss and major equipment damages can be attained by compensating the lost heat due to burners’ failures, which can be possible by defining appropriate setpoints to rearrange the firing rates for healthy burners. In this study, artificial neural network models were developed for estimating the appropriate setpoints for the combustion control system to recover an industrial fired-heater furnace from abnormal conditions. For this purpose, based on an accurate high-order mathematical model, constrained nonlinear optimization problems were solved using the genetic algorithm. For different failure scenarios, the best possible excess firing rates for healthy burners to recover the furnace from abnormal conditions were obtained and data were recorded for training and testing stages. The performances of the developed neural steady-state models were evaluated through simulation experiments. The obtained results indicated the feasibility of the proposed technique to deal with the failures in the combustion system.

Variable-air-volume terminal units I: Steady-state models

1998 ◽  
Vol 19 (3) ◽  
pp. 155-162 ◽  
Author(s):  
I. Khoo ◽  
G.J. Levermore ◽  
K.M. Letherman
Keyword(s):  
Steady State ◽  
Variable Air Volume ◽  
Air Volume ◽  
Terminal Units ◽  
State Models

scholarly journals Analyse comparative de la productivité des cheptels de petits ruminants en élevage extensif tropical : une nouvelle approche par les modèles matriciels en temps discret

2001 ◽  
Vol 54 (1) ◽  
pp. 69 ◽  
Author(s):  
Matthieu Lesnoff ◽  
Renaud Lancelot ◽  
Emmanuel Tillard ◽  
Bernard Faye
Keyword(s):  
Steady State ◽  
State Models ◽  
Analyse Comparative

Une nouvelle méthode d’analyse comparative de la productivité des cheptels domestiques tropicaux est présentée ici. Cette méthode a utilisé les modèles démographiques matriciels et la méthode des modèles de production à l’équilibre (steady-state models). Les méthodes démographiques classiques utilisent des modèles à pas de temps annuel, peu adaptés pour les espèces à cycle de reproduction relativement court et dont les mises bas surviennent tout au long de l’année. Dans ce nouveau modèle, l’année a été décomposée en quinzaines. Trois apports opérationnels principaux ont été présentés. Premièrement, le pas de temps court a pu diminuer le biais dans l’estimation des paramètres démographiques (fécondité, mortalité, exploitation ou importation d’animaux). Deuxièmement, le modèle périodique a pu représenter conjointement les variations intra-annuelles et interannuelles des paramètres démographiques et d’autres paramètres comme le poids ou le prix de vente des animaux. Enfin, la méthode d’inférence proposée (utilisant le bootstrap non paramétrique) a permis de calculer des intervalles de confiance et de réaliser des tests pour comparer la productivité de cheptels différents. La méthode a été testée avec des données de terrain récoltées sur des cheptels d’ovins au Sénégal. Elle peut également être appliquée à d’autres espèces domestiques ou sauvages dans divers contextes zootechniques ou écologiques.

scholarly journals Updating the steady state model of C4 photosynthesis

2021 ◽  
Author(s):  
Susanne von Caemmerer
Keyword(s):  
Steady State ◽  
Electron Transport ◽  
Electron Transport Rate ◽  
Transport Rate ◽  
Initial Slope ◽  
Carboxylase Activity ◽  
Quantitative Correlation ◽  
Steady State Model ◽  
State Models

AbstractC4 plants play a key role in world agriculture. For example, C4 crops such as maize and sorghum are major contributors to both first and third world food production and the C4 grasses sugarcane; miscanthus and switchgrass are major plant sources of bioenergy. In the challenge to manipulate and enhance C4 photosynthesis, steady state models of leaf photosynthesis provide and important tool for gas exchange analysis and thought experiments that can explore photosynthetic pathway changes. Here the C4 photosynthetic model by von Caemmerer and Furbank (1999) has been updated with new kinetic parameterisation and temperature dependencies added. The parameterisation was derived from experiments on the C4 monocot, Setaria viridis, which for the first time provides a cohesive parametrisation. Mesophyll conductance and its temperature dependence have also been included, as this is an important step in the quantitative correlation between the initial slope of the CO2 response curve of CO2 assimilation and in vitro PEP carboxylase activity. Furthermore, the equations for chloroplast electron transport have been updated to include cyclic electron transport flow and equations have been added to calculate electron transport rate from measured CO2 assimilation rates.HighlightThe C4 photosynthesis model by von Caemmerer and Furbank (1999) has been updated. It now includes temperature dependencies and equations to calculate electron transport rate from measured CO2 assimilation rates.

Applicability Analysis of Steady-state Models for Spiral Groove Gas Face Seals

2017 ◽  
Vol 53 (23) ◽  
pp. 7 ◽  
Author(s):  
Songtao HU
Keyword(s):  
Steady State ◽  
Spiral Groove ◽  
Face Seals ◽  
State Models
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