scholarly journals Measurement Campaign and Mathematical Model Construction for the Ship Zodiak Magnetic Signature Reproduction

Measurement ◽  
2021 ◽  
pp. 110059
Author(s):  
J. Tarnawski ◽  
K. Buszman ◽  
M. Woloszyn ◽  
T.A. Rutkowski ◽  
A. Cichocki ◽  
...  
Keyword(s):  
Mathematical Model ◽  
Model Construction ◽  
Measurement Campaign ◽  
Magnetic Signature

scholarly journals DMPy: a Python package for automated mathematical model construction of large-scale metabolic systems

2018 ◽  
Vol 12 (1) ◽  
Author(s):  
Robert W. Smith ◽  
Rik P. van Rosmalen ◽  
Vitor A. P. Martins dos Santos ◽  
Christian Fleck
Keyword(s):  
Mathematical Model ◽  
Large Scale ◽  
Model Construction ◽  
Metabolic Systems ◽  
Python Package

Four Order ESD Generator Circuit Model and its Simulation

2012 ◽  
Vol 239-240 ◽  
pp. 264-269 ◽  
Author(s):  
Jin Shan Wang ◽  
Ke Wang ◽  
Xiao Dong Wang
Keyword(s):  
Mathematical Model ◽  
Circuit Model ◽  
Model Construction ◽  
Generator Circuit ◽  
Model And Simulation ◽  
Simulation Results ◽  
Testing Standards ◽  
The Mathematical Model

Basis international electrician committee issued IEC61000-4-2 testing standards, proposed a new ESD current expression. Using Laplasse transform, established the ESD system mathematical model, according to the mathematical model, construction of passive four order ESD system circuit model and active four order ESD system circuit model, and simulation. The simulation results meet the IEC61000-4-2 standard, and verify the ESD current expression, the mathematical model and the circuit model of consistency.

scholarly journals Simulation of concentrations harmful compounds from main ships propulsion engine cooperating with a fixed pitch propeller in dynamic states

2019 ◽  
Vol 178 (3) ◽  
pp. 51-55
Author(s):  
Artur BOGDANOWICZ ◽  
Tomasz KNIAZIEWICZ
Keyword(s):  
Mathematical Model ◽  
Computer Program ◽  
Propulsion System ◽  
Model Construction ◽  
System Model ◽  
Marine Engine ◽  
Motion Equations ◽  
Marine Propulsion ◽  
Marine Propulsion System ◽  
Load State

The article presents a mathematical model of a marine propulsion system and a computer program based on the LabVIEW environ-ment. For a purpose of model construction, a ships hull resistance was identified and an approximation equations of the Wageningen institute for ship propellers were used. The ships motion equations were used to build the propulsion system model. On the basis of conducted tests of Sulzer 6AL20 / 24 marine engine, a map of concentrations harmful compounds was created in various load state and transferred to a computer program.

scholarly journals An improved technique for identification of mathematical model parameters of thermal power equipment and assessment of its performance

2019 ◽  
Vol 114 ◽  
pp. 06009
Author(s):  
Aleksandr Kler ◽  
Vitalii Alekseiuk ◽  
Aleksei Maksimov
Keyword(s):  
Mathematical Model ◽  
Thermal Power ◽  
Identification Accuracy ◽  
Model Construction ◽  
Model Parameters ◽  
Power Equipment ◽  
Control Parameters ◽  
Accuracy Of Measurements ◽  
Improved Technique ◽  
The Mathematical Model

The problems of state estimation of thermal power system operation and identification of mathematical model parameters have not been acceptably solved due to the complexity of studied objects and their mathematical models, and the lack of effective methods, algorithms and computer programs to solve the required mathematical problems. The results of solving the indicated problems are of importance as such, and play a great part in the qualitative solution to the problems of thermal power equipment control, e.g., the problems of optimal load dispatch among thermal power plant units and optimal control of thermal power equipment operation conditions. The paper describes a technique improved by the author for identification (adjustment, verification) of mathematical model parameters for complex thermal power equipment. The technique allows us to more effectively detect gross errors in measurements of control parameters used for identification of the mathematical model of the studied equipment, to evaluate correctness and rectify errors in the mathematical model construction, and to improve identification accuracy. An improved technique for identification of mathematical model parameters was tested on a detailed mathematical model of the present-day 225 MW generating unit that was constructed by the author. The paper presents results of solving the identification problem of mathematical model parameters of a generating unit and an example of the optimization calculation of the real operation condition in order to reduce specific fuel consumption for electricity generation. In addition, the paper discusses an issue of assessing the identification accuracy of mathematical model parameters of thermal power equipment that depends on the accuracy of measurements of control parameters used to adjust the model, as well as on the correctness of the mathematical model construction and the calculation technique applied.

Mathematical model of steroidogenesis in rat and rabbit testes

1980 ◽  
Vol 239 (1) ◽  
pp. R184-R195
Author(s):  
S. Becker ◽  
C. Chubb ◽  
L. Ewing
Keyword(s):  
Mathematical Model ◽  
Steady State ◽  
Transition Probabilities ◽  
Model Construction ◽  
Steroid Secretion ◽  
Testicular Steroidogenesis ◽  
Testosterone Biosynthesis ◽  
Testicular Steroids ◽  
Secretion Rates

The purpose of this study was to develop a mathematical model of testicular steroidogenesis which could not only predict steroid secretion but also could be implemented to test the validity of assumptions used in studies of testicular testosterone biosynthesis in rats and rabbits. Since the two predominant fates of testicular steroids are metabolism and secretion, we hypothesized that the data for construction of the model could be observed testicular steroid secretions and that these data could then be used to elucidate intratesticular steroid conversions. Equations based on steroid secretion by testes perfused in vitro were developed to estimate transition probabilities corresponding to steroid secretion or conversion. The model was tested by comparing the predicted steroid secretion rates with those observed for control testes perfused in vitro. In addition, the transition probabilities determined by the model were used to indicate the predominant series of reactions for converting pregnenolone to testosterone. The results presented herein confirm the capability of the model to predict steroid secretion rates and to predict preferred pathways for testosterone biosynthesis in maximally stimulated testes perfused in vitro. Moreover, the model construction required only algebra and steady-state measurements.

Sign in / Sign up

Export Citation Format

Share Document