scholarly journals A Generic Modeling Process to Support Functional Fault Model Development

Author(s):  
William A. Maul ◽  
Joseph Hemminger ◽  
Rebecca Oostdyk ◽  
Rachael Bis
Author(s):  
Yin-Chao Huang ◽  
Chung-Len Lee ◽  
Jun-Weir Lin ◽  
Jwu-E Chen ◽  
Chau-Chin Su

2012 ◽  
Vol 2012 ◽  
pp. 1-10 ◽  
Author(s):  
Jane C. Caldwell ◽  
Marina V. Evans ◽  
Kannan Krishnan

Physiologically based Pharmacokinetic (PBPK) models are used for predictions of internal or target dose from environmental and pharmacologic chemical exposures. Their use in human risk assessment is dependent on the nature of databases (animal or human) used to develop and test them, and includes extrapolations across species, experimental paradigms, and determination of variability of response within human populations. Integration of state-of-the science PBPK modeling with emerging computational toxicology models is critical for extrapolation betweenin vitroexposures,in vivophysiologic exposure, whole organism responses, and long-term health outcomes. This special issue contains papers that can provide the basis for future modeling efforts and provide bridges to emerging toxicology paradigms. In this overview paper, we present an overview of the field and introduction for these papers that includes discussions of model development, best practices, risk-assessment applications of PBPK models, and limitations and bridges of modeling approaches for future applications. Specifically, issues addressed include: (a) increased understanding of human variability of pharmacokinetics and pharmacodynamics in the population, (b) exploration of mode of action hypotheses (MOA), (c) application of biological modeling in the risk assessment of individual chemicals and chemical mixtures, and (d) identification and discussion of uncertainties in the modeling process.


2021 ◽  
Vol 264 ◽  
pp. 05043
Author(s):  
Sunnat Boltayev ◽  
Bobomurod Rakhmonov ◽  
Obid Muhiddinov ◽  
Aziz Saitov ◽  
Zohid Toshboyev

In this scientific article, we developed a model of block C that controls the position of the switches. A mathematical model of the block was calculated using a two-layer neural network along with the blocks of the block. An imitation model of the switch control block using the SoDeSys program is presented. In the modeling process, it was studied that a multilayer neural network consists of one or more hidden layers of neurons-the entrance, exit, and the neurons located between them. And block C was determined that it was possible to model with the help of a 2-layer neural network and was expressed in the form of the following layers: 1-in the hidden layer: in the C block, the PK and MK relays are listed. This process indicated that the data coming from the PS or PST block would receive the PK and MK releases. At this layer, it is determined in which position the switches are located, and the data is transferred to the next layers. 2-in the hidden layer: the VZ relay in the C Block is indicated. Information coming from PK and MK relays shows the VZ relays acceptance process. In this layer, it is determined whether the switch is cut or not, and information is transferred to the next layers. In this layer, a certain position of the pushed conductor is determined


2013 ◽  
Vol 2013 ◽  
pp. 1-14 ◽  
Author(s):  
Ray C. Chang

This paper presents a modeling method based on a fuzzy-logic algorithm to establish aerodynamic models by using the datasets from flight data recorder (FDR). The fuzzy-logic aerodynamic models are utilized to estimate more accurately the nonlinear unsteady aerodynamics for a transport aircraft, including the effects of atmospheric turbulence. The main objective in this paper is to present the model development and the resulting models with continuous differentiability. The uncertainty and correlation of the data points are estimated and improved by monitoring a multivariable correlation coefficient in the modeling process. The latter is increased by applying a least square method to a set of data points to train a set of modeling coefficients. A commercial transport aircraft encountered severe atmospheric turbulence twice at transonic flight in descending phase is the study case in the present paper. The robustness and nonlinear interpolation capability of the fuzzy-logic algorithm are demonstrated in predicting the degradation in performance and stability characteristics of this transport in severe atmospheric turbulence with sudden plunging motion.


2011 ◽  
Vol 80-81 ◽  
pp. 511-515
Author(s):  
Jun Sun ◽  
Bei Ke Zhang ◽  
Chong Guang Wu

Simulation modeling VV&A is verification, validation and accreditation. In the field of petrochemical industry, focus of VV&A still lays on the model validation, and people always do appropriate model verification, validation work after model development. It does not yet formed a complete hierarchy or framework for effective implementation of life cycle VV&A. This paper referenced the research achievement of military simulation modeling and test-driven software development technology, introduced the modeling VV&A technology into the whole life of the model development. Simulation modeling process based on validation discussed in this paper is totally based on validation, and it is carried out closely around VV&A from appearance of the first idea to the final application. As a result, people can completely control the whole process of model development. At the same time of improving model accuracy, reliability and credibility, such process could greatly improve the efficiency of model development and effectively reduce the model development period. And this process can be also applied to system-level, complex object.


2021 ◽  
Vol 17 (5) ◽  
pp. e1008921
Author(s):  
Jasia King ◽  
Kerbaï Saïd Eroumé ◽  
Roman Truckenmüller ◽  
Stefan Giselbrecht ◽  
Ann E. Cowan ◽  
...  

Cellular and intracellular processes are inherently complex due to the large number of components and interactions, which are often nonlinear and occur at different spatiotemporal scales. Because of this complexity, mathematical modeling is increasingly used to simulate such systems and perform experiments in silico, many orders of magnitude faster than real experiments and often at a higher spatiotemporal resolution. In this article, we will focus on the generic modeling process and illustrate it with an example model of membrane lipid turnover.


2011 ◽  
Vol 467-469 ◽  
pp. 2163-2167
Author(s):  
Zhao Jie Gu ◽  
Jin Liang Zhang ◽  
Fang Ding

Structure model is the basis of reservoir geological model, which mainly includes fault model and layer model. According to the research of Daqingzijing Oil Field, the paper established the structure model of this area and explain the modeling process. It is easy to learn that 3D geological structures modeling can imitate underground situation vividly in realistic operation of structure model by means of the final structure model achievement. And it is helpful for people to know the structure of the research area better and it provides a foundation for the later modeling.


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