Virtual-Physical Tests of Vehicles with Combined Traction Electrical Drive

2021 ◽  
Author(s):  
◽  
Iļja Dvorņikovs

The Ph. D. Thesis is devoted to the development of a methodology for virtual-physical testing of traction electrical equipment, taking into account the individual design parameters of power equipment. Evaluating the topicality of the dissertation topic, the normative base of traction electrical equipment testing methods has been studied in detail. The dissertation gives a description of mathematical modelling of electrical equipment operation as well as describes the identification of electrical equipment parameters. The developed methodology ultimately allows to determine the functional compliance of traction power equipment to critical conditions that would be possible during operational testing and operation during the electrical equipment design and factory testing stages. The work includes theoretical calculations, computer modelling tasks, and the results of practical experiments.

2018 ◽  
Vol 28 (6) ◽  
pp. 2161-2165
Author(s):  
Hristo Ivanov Popnikolov

From the subject presented in the report it is evident that the pre-trial and the court bodies may, to some extent, be influenced both by the person of the accused and by his competence to participate in the criminal process. In this regard as an expert, the psychologist can offer invaluable assistance. Each expertise would assist all actors involved in the administration of justice on their objective assessment of the offenders, the understanding of their individual protection and the inherent self-justification during procedural actions. The involvement of psychologists in the criminal process is key to establishing the truth in the investigation, because every crime as an act has a subjective side, expressed in the psychic attitude of the perpetrator to the committed act. Establishing these psychological motives is a key point in the criminal process with a view to establishing the truth.Psychological protection stabilizes the personality in the critical conditions of counteraction, related to the elimination of the experiences of tension, anxiety, stress and frustration, leading to maximum mobilization of its resources and at the same time to their overpayment. Thus, the individual who is the subject of the process action is protected against the adverse external influences, but at the cost of a lot of effort and enormous loss of nervous-mental energy, which increases his own vulnerability instead of contributing to its reduction. The appearance and functioning of psychological protection can be significantly impeded by the interaction of the investigator with the accused. Even more complicated is the situation when it breaks the communication contact that may arise in the psychological alienation and self-isolation of the accused due to the desire to protect himself.Protective psychological dominance is a real psychic activity that investigators, investigators, investigators and judges need to take into account in order to effectively deal with their task and to overcome the resistance of the investigated persons and in a time to prove in a lawful and moral way their guilt and participation in the commitment of the crimes.


Author(s):  
F Eghtedari ◽  
S H Hopkins ◽  
D T Pham

This paper describes the mathematical and computer modelling of a photoelastic sensor for slip detection. The main components of the sensor are a photoelastic transducer and a solid state camera. When under stress, the photoelastic transducer generates optical fringe patterns which are captured digitally by the camera. The model developed encompasses the mechanical and optical behaviours of the photoelastic transducer and the switching characteristics of the camera pixels. The model has been employed to study the effects of different design parameters on the sensor's slip resolution.


2011 ◽  
Vol 2 ◽  
pp. 802-808 ◽  
Author(s):  
Elena Mena-Osteritz ◽  
Marta Urdanpilleta ◽  
Erwaa El-Hosseiny ◽  
Berndt Koslowski ◽  
Paul Ziemann ◽  
...  

The self-assembly properties of a series of functionalized regioregular oligo(3-alkylthiophenes) were investigated by using scanning tunneling microscopy (STM) at the liquid–solid interface under ambient conditions. The characteristics of the 2-D crystals formed on the (0001) plane of highly ordered pyrolitic graphite (HOPG) strongly depend on the length of the π-conjugated oligomer backbone, on the functional groups attached to it, and on the alkyl substitution pattern on the individual thiophene units. Theoretical calculations were performed to analyze the geometry and electronic density of the molecular orbitals as well as to analyze the intermolecular interactions, in order to obtain models of the 2-D molecular ordering on the substrate.


Author(s):  
Dmitry Strebkov ◽  
Alexey Nekrasov ◽  
Anton Nekrasov

Maintenance of the power equipment system is based on the industry standard of averaged volumes of standard maintenance and repair of power equipment, frequency and duration of the preventive measures, the nomenclature and consumption of materials and spare parts to perform operations. One of the more efficient uses of electrical equipment is to improve its maintenance system through the development and implementation of service strategies for the actual condition. The work proved the necessary conditions for the realization of electric service strategy on defining the main diagnostic parameter. The general mathematical model is proposed to implement the service strategy. The model is based on a study of basic parameters using random monotone normal type of process and diagnostic controlled parameter with three discrete product states (working, the state of preventive actions, and failure) and continuous operating time. The results of studies of the new techniques development for improving the operation of electrical systems are presented.


1992 ◽  
Vol 151 ◽  
pp. 9-19
Author(s):  
Peter Bodenheimer

Recent observational studies of the properties of binary systems among young stars indicate that the majority of binaries are formed very early in the history of a star, perhaps during the protostellar collapse. Major observational facts to be explained include the overall binary frequency, the non-negligible occurrence of multiple systems, and the distributions of period, eccentricity, and mass ratio among the individual binaries. Theoretical calculations of the collapse of rotating protostars during the isothermal phase indicate instability to fragmentation into multiple systems. This process in general produces systems with periods greater than a few hundred years, although somewhat shorter periods are possible. Fragmentation during later, optically thick, phases of collapse tends to be suppressed by pressure effects. Therefore, major theoretical problems remain concerning the origin of close binaries. Fission of rapidly rotating stars, tidal capture, and three-body capture have been shown to be improbable mechanisms for formation of close binaries. Mechanisms currently under study include gravitational instabilities in disks, orbital interactions and disk-induced captures in fragmented multiple systems, hierarchical fragmentation, and orbital decay of long-period systems. Single stars, on the other hand, could result by escape from multiple systems or by the collapse of clouds of low angular momentum, coupled with angular momentum transport after disk formation.


Author(s):  
Martin Hallmann ◽  
Benjamin Schleich ◽  
Sandro Wartzack

AbstractWhen using additive manufacturing processes, the choice of the numerous settings for the process and design parameters significantly influences the build and production time. To reduce the required build time, it is useful to adapt the parameters with the greatest influence. However, since the contribution of the individual parameters is not readily apparent, a sensible choice of process and design parameters can become a challenging task.Thus, the following article presents a method, that enables the product developer to determine the main contributors to the required build time of additively manufactured products. By using this sensitivity analysis method, the contributors of the individual parameters can be analyzed for a given parametrized CAD model with the help of an analysis-based build time estimation approach. The novelty of the contribution can be found in providing a method that allows studying both design and process parameters simultaneously, taking the machine to be used into account. The exemplary application of the presented method to a sample part manufactured by Fused Deposition Modeling demonstrates its benefits and applicability.


2003 ◽  
Author(s):  
Hamid Hadim ◽  
Tohru Suwa

In this manuscript a systematic multidisciplinary electronic packaging design and optimization methodology based on the artificial neural networks technique is presented. This method is applied to a Ball Grid Array (BGA) package design as an example. Multidisciplinary criteria including thermal, structural (thermal strain), electromagnetic leakage, and cost are optimized simultaneously. A simplified routability criterion is also considered as a constraint. The artificial neural networks technique is used for thermal and structural performance predictions. Large calculation time reduction is achieved using the artificial neural networks, which also provide enough information to specify the individual weights for each design discipline within the objective function used for optimization. This methodology is able to provide the designers a clear view of the design trade-offs, which are represented in the objective function using various design parameters. This methodology can be applied to any electronic product design at any packaging level.


2012 ◽  
Vol 241-244 ◽  
pp. 19-26
Author(s):  
Xia Zhao ◽  
Qing Hong ◽  
Feng Biao Yang ◽  
Chen Guang Zhang

With a higher level of the information techonology application in weapon system, the comprehensive electric system becomes more and more complicated, bringing about higher requirements on equipment support. In this paper, the research is mainly targeted at the integrated electrical system for a certain air defense weapon system. The offline live testing plan is employed, and simulated field simulation technology, switch topology in different forms are intergrated throughout the research to complete the performance testing on the major electrical equipment, so as to test the equipment integrity. Research and development of the testing system provide a feasible design method and means of implementation for the performance testing and trouble diagonosis for electrical equipment of the new equipment.


2014 ◽  
Vol 989-994 ◽  
pp. 1141-1145
Author(s):  
Xin Yu Yang ◽  
Qi Shuang Ma ◽  
Pei Yuan Cheng ◽  
Qiang Zhang ◽  
Lin Zhang

For the need of simulation research of technical support and obtain basic rush repair data of certain ground-to-air electrical equipment in battlefield condition, this paper studies on the simulation for damage of certain electrical power equipment in battlefield. It analyzes threat mechanisms and basic damage theories of power unit and compiles simulation procedure adopting Monte Carlo method. By simulation, it can analyze vulnerability and distributing of damage parts for electrical power equipment. All this provides reference for rush repair and instruct to defend in battlefield condition.


2020 ◽  
Vol 24 (5) ◽  
pp. 1093-1104
Author(s):  
Alexandra Khalyasmaa ◽  

The purpose of the study is to analyze the practical implementation of high-voltage electrical equipment technical state estimation subsystems as a part of solving the lifecycle management problem based on machine learning methods and taking into account the effect of the adjacent power system operation modes. To deal with the problem of power equipment technical state analysis, i.e. power equipment state pattern recognition, XGBoost based on gradient boosting decision tree algorithm is used. Its main advantages are the ability to process gapped data and efficient operation with tabular data for solving classification and regression problems. The author suggests the formation procedure of correct and sufficient initial database for high-voltage equipment state pattern recognition based on its technical diagnostic data and the algorithm for training and testing sets creation in order to improve the identification accuracy of power equipment actual state. The description and justification of the machine learning method and corresponding error metrics are also provided. Based on the actual states of power transformers and circuit breakers the sets of technical diagnostic parameters that have the greatest impact on the accuracy of state identification are formed. The effectiveness of using power systems operation parameters as additional features is also confirmed. It is determined that the consideration of operation parameters obtained by calculation as a part of the training set for high-voltage equipment technical state identification makes it possible to improve the tuning accuracy. The developed structure and approaches to power equipment technical state analysis supplemented by power system operation mode data and diagnostic results provide an information link between the tasks of technological and dispatch control. This allows us to consider the task of power system operation mode planning from the standpoint of power equipment technical state and identify the priorities in repair and maintenance to eliminate power network “bottlenecks”.


Sign in / Sign up

Export Citation Format

Share Document