scholarly journals Fryze reactive power of trams in effective stochastic recuperation processes

2019 ◽  
Vol 294 ◽  
pp. 01006
Author(s):  
Oleh Bondar ◽  
Mikola Kostin ◽  
Andrei Mukha ◽  
Olha Sheikina ◽  
Svitlana Levytska
Keyword(s):  
Data Processing ◽  
Transport System ◽  
Direct Current ◽  
Mathematical Expectation ◽  
Statistical Data ◽  
Reactive Power ◽  
Current System ◽  
Numerical Calculations ◽  
Regenerative Braking ◽  
Electric Transport

Urban electric transport system, particularly tram systems, is not a direct current system not only in traction mode but in regenerative modes as both voltage on a collector and regenerative current are stochastic abruptly variable processes. The above- mentioned facts determine availability of Fryze’s reactive power in this system that flows from a railway substation to trams, leads to incidental losses of energy and significantly reduces its quality. So evaluation of power effectiveness of the system in electrical trams operation is impossible without determining the level of reactive power in this system. We have analytical expression of reactive power by Fryze. Numerical calculations for trams type T3D and T4D in regenerative braking modes are done. Probabilistic statistical data processing operation of reactive power expressions is done. It is determined that reactive power changes in the limit of 10…100 kilo-volt ampere reactive with mathematical expectation – 37,0 kilo-volt ampere reactive. Statistical allocation of random power values are different. Numerical calculations of incidental losses, energy of recuperation are done and they range supplementary – 20% from total losses. It is stated that coefficient of reactive power of system route of trams is exceeding permissible value 0,25.

ANALYSIS OF THE FLOODING SYSTEM WITH APPLICATION OF STATISTICAL DATA PROCESSING METHODS

2020 ◽  
pp. 5-9
Author(s):  
A.Yu. Sentsov ◽  
◽  
I.V. Ryabov ◽  
A.A. Ankudinov ◽  
Yu.E. Radevich ◽  
...  
Keyword(s):  
Data Processing ◽  
Statistical Data ◽  
Processing Methods ◽  
Statistical Data Processing ◽  
Data Processing Methods

Use of Mathematical Modeling in Building Ceramics Functional Properties Studies

2016 ◽  
Vol 870 ◽  
pp. 191-195
Author(s):  
N.A. Vil'bitskaya ◽  
S.A. Vilbitsky ◽  
A.G. Avakyan
Keyword(s):  
Mathematical Modeling ◽  
Data Processing ◽  
Ceramic Material ◽  
Functional Properties ◽  
Statistical Data ◽  
Ceramic Tiles ◽  
Processing Methods ◽  
Statistical Data Processing ◽  
High Calcium ◽  
Data Processing Methods

The peculiarities of using mathematical and statistical data processing methods in studying the intensification in the process of sintering a ceramic material with a high content of high-calcium waste, and mineralizing sintering lithium-containing waste were studied. The region of optimal ceramic masses composition, which allows obtaining ceramic tiles with high functional properties, was defined.

scholarly journals Investigation of Regenerative Braking Performance of Brushless Direct Current Machine Drive System

2021 ◽  
Vol 11 (3) ◽  
pp. 1029
Author(s):  
Omer Cihan Kivanc ◽  
Ozgur Ustun
Keyword(s):  
Direct Current ◽  
Digital Signal Processor ◽  
Internal Resistance ◽  
Drive System ◽  
Performance Estimation ◽  
Regenerative Braking ◽  
Duty Ratio ◽  
Machine Drive ◽  
Resistance Variation ◽  
Specific Duty

The brushless direct current (BLDC) machines which are preferred in light electric vehicles (LEVs) come forward as high regenerative braking capability machines due to their permanent magnet excitation and relatively simple operation. In this paper, the regenerative braking capability limits of BLDC machines and their drive circuits are examined by taking into account nonlinear circuit parameters and battery internal resistance variation. During energy recovery from mechanical port to electrical port, the inverter of BLDC machine is operated as a boost converter which enables power flow to a battery. However, the regeneration performance is also heavily dependant on the battery condition, particularly the temperature. By means of the developed detailed circuit model including the non-ideal effects of the boosting converter and the increase of the internal resistance variation which is caused by the temperature variation of the battery and ambient temperature, the specific duty cycle can be determined. The specific duty ratio is then applied in a proposed approach for various operation scenarios. The experimental tests are implemented by a 400 W BLDC machine drive system controlled via a TMS320F28335 digital signal processor. The experimental results show that the proposed comprehensive model presents a proper performance estimation of regenerative braking system under varying battery temperature.

scholarly journals Psycholinguistic Issues of Translation, Adaptation and Validation of «The Big Three Perfectionism Scale»

2020 ◽  
Vol 15 ◽  
pp. 59-62
Author(s):  
Tamara Grubi
Keyword(s):  
Factor Analysis ◽  
Data Processing ◽  
Statistical Data ◽  
Reliability And Validity ◽  
Statistical Data Processing ◽  
Pace Of Life ◽  
Rapid Pace

Increased interest in the study of perfectionism of a person is becoming more and more relevant, it can be explained by the rapid pace of life, increasing competition, the cult of perfectionism and individual accomplishments. To diagnose perfectionism they use questionnaires, however, the vast majority of them have two scales. In the «Great Triennial Scale of Perfectionism», perfectionism is viewed as a richly varied construct that combines three types – «hard», «self-critical» and «narcissistic». In turn, each of these types is composed of several scales, which are included in the inventory in order to increase reliability and accuracy in the assessment. The results of the process of translation, adaptation and standardization of the quantifier are presented. Data on primary statistical data processing, reliability, validity of the technique, correlation and factor analysis of its indicators according to psychometric requirements are given. The reliability and validity of the instrument and the possibility to use it for investigative and psychodiagnostic purposes has been proved.

scholarly journals Algorithm of complex anthroposcopic, anthropometric and dermatoglyphic research in forensic identification of an unknown person

2021 ◽  
pp. 36-49
Author(s):  
Halyna Zelenchuk ◽  
Natalia Kozan ◽  
Valeriya Chadiuk
Keyword(s):  
Neural Network ◽  
Data Processing ◽  
Forensic Science ◽  
Research Methods ◽  
Statistical Data ◽  
Forensic Identification ◽  
Statistical Data Processing

The article presents materials and research methods that are used both to identify an unknown person and to predict a person's susceptibility to illegal actions of varying severity. In particular, this article describes anthroposcopic, anthropometric, dermatoglyphic methods, statistical data processing and neural network forecasting, which are widely used in modern forensics and forensic science. The relevance and objectives of the above research methods are formulated in order to predict a person's propensity to illegal actions of varying severity.

scholarly journals Peningkatan Kompetensi Dalam Menunjang Kinerja Karyawan Pada PT Batang Bumi Mandiri

2021 ◽  
Vol 12 (3) ◽  
pp. 397-404
Author(s):  
Dekky SI Efendi ◽  
Sonny Hersonna ◽  
DJ Suyaman
Keyword(s):  
Data Processing ◽  
Sampling Method ◽  
Statistical Data ◽  
Research Data ◽  
Coefficient Of Determination ◽  
High Quality ◽  
Statistical Data Processing ◽  
Sample Technique ◽  
Saturated Sample

Competence in an organization or company is important in supporting the performance produced by employees. The management of course will make efforts to increase the competence of its employees with the hope that the performance of the employees will make their work complete and the output produced is of high quality. Recognizing the importance of competence on performance, the authors helped by examining these variables. In this study the researchers collected data by distributing it to all employees at PT Batang Bumi Mandiri with a total of 25, of which the entire population will also be sampled because the sampling method used is the saturated sample technique. In processing this data used statistical data processing tools in the form of SPSS version 26 to assist the author in processing research data. The result of the research is that competence has an effect on performance. The competency variable also has a coefficient of determination of 16.5% to affect performance, while the remaining 83.5% is influenced by other variables not examined in this study.

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