scholarly journals Comparison of the Accuracy and Speed of Transient Mobile A/C System Simulation Models

2014 ◽  
Vol 7 (2) ◽  
pp. 739-754 ◽  
Author(s):  
Tibor Kiss ◽  
Jason Lustbader
Keyword(s):  
System Simulation ◽  
Simulation Models

Construction of Multi-Domain System Simulation Model for Trade Studies in System Design Considering Multiple Scenes

2019 ◽  
Author(s):  
Kazuya Oizumi ◽  
Keita Ishida ◽  
Yoshihiro Uchibori ◽  
Kazuhiro Aoyama
Keyword(s):  
Simulation Model ◽  
System Design ◽  
Systems Engineering ◽  
System Simulation ◽  
Cognitive Model ◽  
Simulation Models ◽  
Modelling Method ◽  
Variable Transmission ◽  
Physical Phenomena ◽  
Model Based Systems Engineering

Abstract As a product is sold globally, usages of the product have much wider variety. Thus, a product needs to be designed considering multiple scenes. To certify that the product performs properly in any scene, industries started to apply Model Based Systems Engineering (MBSE). Whereas multi-domain system simulations are regarded as a prominent approach for the system design of a product, construction of model depends on knowledge and sense modelers. This paper proposes a modelling method to construct appropriate multi-domain system simulation models while reducing dependencies to senses of modelers. The proposed method comprises two parts. First, significant tradeoffs to be studied by the simulation are specified. Second, features of simulation models are deliberated for specified tradeoffs. To specify significant tradeoffs, product and scenes where the product is used are integrated into a model. Further, to deliberate features of simulation model, cognitive model of physical phenomena in a product is employed as well. The proposed method was applied to the development of continuously variable transmission to verify its validity.

Production and representation of computer system simulation models

1976 ◽  
Vol 7 (4) ◽  
pp. 205-212
Author(s):  
Giuseppe G. Iazeolla ◽  
Enrico Martinelli ◽  
Orazio Tedone
Keyword(s):  
Computer System ◽  
System Simulation ◽  
Simulation Models

scholarly journals Service-Oriented Model Encapsulation and Selection Method for Complex System Simulation Based on Cloud Architecture

Entropy ◽  
2019 ◽  
Vol 21 (9) ◽  
pp. 891
Author(s):  
Xiong ◽  
Zhu ◽  
Yao ◽  
Tang ◽  
Xiao
Keyword(s):  
Complex System ◽  
System Simulation ◽  
Simulation Models ◽  
Selection Method ◽  
Semantic Search ◽  
Distributed Scheduling ◽  
Parallel Operation ◽  
Optimal Service ◽  
Service Oriented ◽  
Search And Selection

With the rise in cloud computing architecture, the development of service-oriented simulation models has gradually become a prominent topic in the field of complex system simulation. In order to support the distributed sharing of the simulation models with large computational requirements and to select the optimal service model to construct complex system simulation applications, this paper proposes a service-oriented model encapsulation and selection method. This method encapsulates models into shared simulation services, supports the distributed scheduling of model services in the network, and designs a semantic search framework which can support users in searching models according to model correlation. An optimization selection algorithm based on quality of service (QoS) is proposed to support users in customizing the weights of QoS indices and obtaining the ordered candidate model set by weighted comparison. The experimental results showed that the parallel operation of service models can effectively improve the execution efficiency of complex system simulation applications, and the performance was increased by 19.76% compared with that of scatter distribution strategy. The QoS weighted model selection method based on semantic search can support the effective search and selection of simulation models in the cloud environment according to the user’s preferences.

The Transitional Simulation of Self-Propelled Winch System by the AMESim

2014 ◽  
Vol 687-691 ◽  
pp. 228-231
Author(s):  
Jing Tao Yue ◽  
Hui Pu ◽  
Xiao Jun Wei
Keyword(s):  
Hydraulic System ◽  
Structural Characteristics ◽  
System Simulation ◽  
Hydraulic Drive ◽  
Simulation Models ◽  
Operating Conditions ◽  
The Self ◽  
Hydraulic Motor ◽  
Control Loops ◽  
System Operating

The self-propelled winch system was studied taking the 20-ton transitional self-driven winch system as the engineering background. By the analysis of structural characteristics, control loops, speed solutions and hydraulic motor-driven forms of winch hydraulic system, The system of mathematical models was established which lay the foundation of the establishment of system simulation model. The walking hydraulic drive system simulation models were established by using AMESim software. On this basis, by setting different parameters, the simulation system operating conditions are simulated, which verified the rationality and stability of the design of the winch hydraulic transmission system.

Experimental Error Measurement in Monte Carlo Simulation

2010 ◽  
pp. 92-142 ◽  
Author(s):  
Lucia Cassettari ◽  
Roberto Mosca ◽  
Roberto Revetria
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Experimental Error ◽  
System Simulation ◽  
Simulation Models ◽  
Error Measurement ◽  
Mean Square ◽  
Optimal Functioning ◽  
Set Up ◽  
And Control

This chapter describes the set up step series, developed by the Genoa Research Group on Production System Simulation at the beginning of the ’80s, as a sequence, through which it is possible at first statistically validate the simulator, then estimate the variables which effectively affect the different target functions, then obtain, through the regression meta-models, the relations linking the independent variables to the dependent ones (target functions) and, finally, proceed to the detection of the optimal functioning conditions. The authors pay great attention to the treatment, the evaluation and control of the Experimental Error, under the form of Mean Square Pure Error (MSPE), a measurement which is always culpably neglected in the traditional experimentation on the simulation models but, that potentially can consistently invalidate with its magnitude the value of the results obtained from the model.

System simulation models for on-board hydrogen storage systems

2012 ◽  
Vol 37 (3) ◽  
pp. 2862-2873 ◽  
Author(s):  
Sudarshan Kumar ◽  
Mandhapati Raju ◽  
V. Senthil Kumar
Keyword(s):  
Hydrogen Storage ◽  
Storage Systems ◽  
System Simulation ◽  
Simulation Models
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