scholarly journals USE OF MATHEMATICAL METHODS OF STATISTICS FOR ANALYZING ENGINE CHARACTERISTICS / MATEMATINĖS STATISTIKOS METODŲ TAIKYMAS ANALIZUOJANT VARIKLIŲ TECHNINES CHARAKTERISTIKAS

2012 ◽  
Vol 4 (4) ◽  
pp. 351-355
Author(s):  
Aivaras Jasilionis ◽  
Saulius Nagurnas ◽  
Mindaugas Melaika
Keyword(s):  
Mathematical Statistics ◽  
Engine Control ◽  
Mathematical Methods ◽  
Control Software ◽  
Development Trends ◽  
New Models ◽  
To Come ◽  
Engine Power

For the development of new models, automobile manufacturers are trying to come up with optimal software for engine control in all movement modes. However, in this case, a vehicle cannot reach outstanding characteristics in none of them. This is the main reason why modifications in engine control software used for adapting the vehicle for driver’s needs are becoming more and more popular. The article presents a short analysis of development trends towards engine control software. Also, models of mathematical statistics for engine power and torque growth are created. The introduced models give an opportunity to predict the probabilities of engine power or torque growth after individual reprogramming of engine control software. Santrauka Automobilių gamintojai sukurtas degimo variklių valdymo programas pritaiko visiems automobilio judėjimo režimams ir tarp jų siekia optimalaus balanso. Tačiau tuomet automobilis nė vienu režimu nerealizuoja tinkamiausių būtent tam režimui parametrų, todėl labai populiarėja valdymo programos perprogramavimas. Straipsnyje trumpai apžvelgiamos kryptys, kuriomis tobulinami valdymo programų kūrimo metodai. Taip pat pagal eksperimentinių tyrimų metu surinktus duomenis pateikti sudaryti variklio išvystomos galios ir sukimo momento padidėjimo matematinės statistikos modeliai. Sudarant šiuos modelius, nustatytos minimalios ir maksimalios galios ir sukimo momento padidėjimo reikšmės, apskaičiuotos vidutinės reikšmės bei vidutiniai kvadratiniai nuokrypiai, parinkti teoriniai nagrinėjamų duomenų pasiskirstymo dėsniai. Sudaryti matematinės statistikos modeliai leidžia prognozuoti galios ir sukimo momento padidėjimo reikšmės patekimo į tam tikrą intervalą tikimybes.

Modular rocket engine control software (MRECS)

1998 ◽  
Author(s):  
Jerry Crook ◽  
Charlie Tarrant
Keyword(s):  
Rocket Engine ◽  
Engine Control ◽  
Control Software

Experiences with the Application of Discrete Formal Methods to the Development of Engine Control Software

1998 ◽  
Vol 31 (32) ◽  
pp. 49-56 ◽  
Author(s):  
Andy J. Galloway ◽  
Trevor J. Cockram ◽  
John A. McDermid
Keyword(s):  
Formal Methods ◽  
Engine Control ◽  
Control Software

Development of an Injector Fault Insertion Tool for DI Gasoline and Diesel Engines

2016 ◽  
Author(s):  
Renato Yapaulo ◽  
Matthew Viele ◽  
Andrew Polk
Keyword(s):  
Diesel Engines ◽  
Control Unit ◽  
Engine Control Unit ◽  
Engine Control ◽  
Fuel Injector ◽  
Electrical Load ◽  
Control Software ◽  
Fuel Injectors ◽  
Running System ◽  
Insertion Tool

In order to ensure that every portion of the emission control software in a vehicle works, all fault conditions must be tested. Simply simulating faults in the software of the engine controller and reporting it to the OBD II scanner is inadequate; the fault condition must be injected externally to the Engine Control Unit (ECU). In the case of hard-to-reproduce mechanical failures, this is a challenging task. This paper discusses the development of a system capable of emulating various faults that a fuel injector can have while operating as part of a complete working vehicle. For the ECU to operate properly, all fuel injectors must be present in the vehicle, be fully functional, and must represent an accurate electrical load to the ECU. Then, the induced faults must be seamlessly inserted into the running system in less than 10μs and removed before the subsequent injection event. This was accomplished with a variety of COTS hardware, a simple custom circuit, and the use of a large, flexible FPGA platform.

The experience of using mathematical statistics methods when analyzing the results of state land supervision

2019 ◽  
Vol 952 (10) ◽  
pp. 55-64 ◽  
Author(s):  
A.P. Sizov
Keyword(s):  
Population Density ◽  
Federal District ◽  
Control Measures ◽  
Mathematical Statistics ◽  
Siberian Federal District ◽  
Initial Information ◽  
General Number ◽  
To Come ◽  
And Control

Application of mathematical statistics methods as a possibility of implementing the principle of “minimum initial information – maximum justified generalizations” when analyzing the results of Supervisory and control measures in land management makes it possible to come to non-trivial conclusions. Significant correlation between indicators of state land supervision and General characteristics of the subjects of the Siberian Federal district (area, number and population density) were identified. High number of the eliminated violations is possible only at a large number of the revealed violations, but just 35–45 % of the revealed violations are eliminated in 33% of the general number of the areas with the revealed violations. The Amount of fines imposed is closely correlated with the amount of fines collected (r = 0,95) with a low – 65 % share of the money gathered. The role of fines for violating land legislation is not decisive in the formation of the SFD subjects’ budgets. Indicators of state land supervision closely connected with the area of land settlements, this data is system-forming in the eliminating land law violations. In proportion to the availability of these lands revenues to local budgets are formed as well. To increase the effectiveness of state land supervision as to the number of eliminated violations, the area of land with eliminated violations and the amount of fines collected, it is necessary to focus on bringing cases for each violation to a logical conclusion.

scholarly journals Risks and Threats Posed to a Company’s Economic Security

2018 ◽  
Vol 7 (3.15) ◽  
pp. 210
Author(s):  
Sergey Valeryevich Bank ◽  
Vladimir Dmitriyevich Sekerin ◽  
Anna Evgenievna Gorokhova ◽  
Nikolay Ivanovich Nikolaykin ◽  
Anton Gennadievich Shcherbakov
Keyword(s):  
Negative Impact ◽  
Economic Security ◽  
Security System ◽  
Impact Factors ◽  
Mathematical Methods ◽  
Modern Enterprise ◽  
Business Entities ◽  
To Come ◽  
Social Economic Development ◽  
Fine Tune

This paper examines some of the major types of risks and threats that may be posed to the economic security of national enterprises. Its purpose is to terminologically fine-tune the categories ‘threats’ and ‘risk’, analyze and classify risks from the standpoint of the multicriteria approach, as well as fine-tune existing methods for assessing risks faced by a firm’s economic security system. Based on the findings from their analysis of relevant materials, the authors have formulated the following conclusions:•an event that does not yield itself to assessment from the standpoint of quantitative and qualitative parameters is regarded as a threat. In this context, it becomes virtually impossible to come up with efficient preventive activities, as it is problematic to conduct quantitative assessments of this kind of event. Reducing the extent of a threat requires identifying and classifying relevant risks;•a modern enterprise is a backbone element in the national economy. Managing risks and threats posed to economic security at the microlevel is a part of the national strategy for social/economic development in the Russian Federation. This is why threats that emerge at the level of interaction among business entities are strategic risks;•assessing risk implies not only identifying the intensity of negative impact factors but constructing its specific forms as well. Assessment procedures are based on detecting negative impact factors, establishing the degree of their impact on a firm’s economic security system, and forecasting the potential reactions of the firm’s subsystems. The most frequently used assessment methods are expert and mathematical methods.  

scholarly journals Electronic ceramic structure within the Voronoi cells model and microstructure fractals contacts surfaces new frontier applications

2013 ◽  
Vol 45 (2) ◽  
pp. 223-232 ◽  
Author(s):  
V.V. Mitic ◽  
V. Paunovic ◽  
S. Jankovic ◽  
V. Pavlovic ◽  
I. Antolovic ◽  
...  
Keyword(s):  
Mathematical Statistic ◽  
Mathematical Statistics ◽  
Fractal Nature ◽  
Mathematical Methods ◽  
Material Microstructure ◽  
Ceramic Structure ◽  
New Approach ◽  
Voronoi Cells ◽  
Real Model ◽  
New Frontier

In this study, in order to establish grain shapes of sintered ceramics, new approach on correlation between microstructure and doped BaTiO3 -ceramics properties based, on Voronoi model and mathematical statistics calculations on fractal geometry, has been developed. BaTiO3-ceramics doped with Yb2O3 (from 0.1 to 1.0wt% of Yb) were prepared by using conventional solid state procedure and were sintered from 1320?C to 1380?C for four hours. The microstructure of sintered specimens was investigated by Scanning electron microscope JEOL-SEM-5300. For better and deeper characterization and understanding of the ceramics material microstructure, the methods which include the fractal nature structure, and also Voronoi model and mathematical statistics calculations, are applied. In our research the Voronoi is one specific interface between fractal structure nature and different stochastically contact surfaces, defined by statistical mathematical methods. Also, the Voronoi model practically provided possibility to control the ceramics microstructure fractal nature. Mathematical statistic methods enabled establishing the real model for the prognosis based on correlation: synthesis-structures-properties.

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