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The Automated System of Unified Templates as an Element of Trainability of Microprocessor Relay Protection Devices

Journal of Applied Mathematics and Physics 2021年第12期9卷 3045-3057页

作者： Viktor Nikolaevich Sizykh aleksey vasilyevich daneev Maksim Viktorovich Vostrikov Konstantin Vladimirovich Menaker Irkutsk State Transport University Irkutsk Russia The Transbaikal Institute of Railway Transport Chita Russia

The article discusses the possibility of further modernization of the standard microprocessor relay protection of AC overhead system feeders DPA-27.5-TNF, which is operated on the Trans-Baikal Railway by creating an additional automated system of unified templates necessary for the occurrence of “trainability” elements. The templates will be formed via a separate dedicated channel for transmission, processing and storage of the necessary information, not related to the operation of the terminal, with its subsequent visualization at the workplace of the duty personnel of traction substations, together with information from the “GID” software received via another dedicated wired channel. With the help of such a base of unified preset templates, in the future, it will be possible not only to identify the specific causes of each emergency shutdown but also to reduce their number by dynamically adjusting the existing presets of the standard operation algorithm.

关键词： Automated System Microprocessor Relay Protection Devices Feeder Traction Substation

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Regression-Tensor Modeling of Multivariate Optimization of Process for Applying Metal Coatings

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Journal of Applied Mathematics and Physics 2014年第13期2卷 1207-1223页

作者： Vyacheslav Anatolievich Rusanov Sergey Viktorovich Agafonov Sergey Nikolayevich Dumnov aleksey vasilyevich daneev Sergey vasilyevich Lyamin Institute for System Dynamics and Control Theory of Siberian Branch of Russian Academy of Sciences (ISDCT SB RAS) Irkutsk Russia Irkutsk State Agricultural Academy (ISAA) Irkutsk Russia Irkutsk State Transport University (ISTU) Irkutsk Russia

A universal regression-tensor approach is developed in the mathematical modeling of optimal parameters of chemical-technological process of complex mechanical products. The testing of developed algorithms was performed on the example of multi-factorial process of low-temperature sulfur-chromium plating of precision mechanical parts.

关键词： Covariant Tensors of Final Valence Identification of Nonlinear Vector Regression Optimization of Metal Coatings

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Comprehensive Automation of Microprocessor Protection Relay Terminals Operated on AC Railways

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Journal of Applied Mathematics and Physics 2022年第2期10卷 491-503页

作者： Vostrikov Maksim Viktorovich daneev aleksey vasilyevich Menaker Konstantin Vladimirovich Sizykh Viktor Nikolaevich Zabaikalsk Rail Transport Institute A Branch of Irkutsk State Transport University Chita Russia Irkutsk State Transport University Irkutsk Russia

The article discusses the possibility of a potential reduction in the number of operations of microprocessor relay protection of feeders of the contact network of AC railways TsZA-27.5-FKS (FTS) for unknown reasons. Real statistics on the number of microprocessor relay protection operations at the Buryatskaya traction substation are presented, simulation of the real train situation (in accordance with the regime maps of the throughput capacity of the sections of the Trans-Baikal railway) was carried out in the specialized software complex “KORTES”. Based on the results of the analysis of simulation modeling, the process of forming a unified template of settings using neural network technologies is considered, which characterizes only this specific regular train situation. To protect objects in the event of pre-emergency and emergency modes of operation of the traction power supply system, a variant of changing the standard operation algorithm of the TsZA-27.5-FKS (FTS) terminal by introducing additional blocks for calculating the predictive functions of current and voltage has been proposed.

关键词： Automated System Microprocessor Relay Protection Devices Feeder Traction Substation

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On the Regression-Tensor Analysis of the Hardening Process of Metal Coatings

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Journal of Applied Mathematics and Physics 2021年第7期9卷 1639-1651页

作者： Rusanov Vyacheslav Anatolievich Agafonov Sergey Viktorovich daneev aleksey vasilyevich Gubanov Ilya Alecseevich Matrosov Institute for System Dynamics and Control Theory of the Siberian Branch of the Russian Academy of Sciences Irkutsk Russia Irkutsk State Agricultural Academy Irkutsk Russia Irkutsk State Transport University Irkutsk Russia

This paper constructs and studies a nonlinear multivariate regression-tensor model for substantiation of necessary/sufficient conditions of optimization of technological calculation of multifactor physical and chemical process of hardening of complex composite media for metal coatings. An adaptive a posteriori procedure for parametric formation of the target quality functional of integrative physical and mechanical properties of the designed metal coating has been proposed. The results of the research may serve as elements of a mathematical language when creating automated design of precision nanotechnologies for surface hardening of complex composite metal coatings on the basis of complex tribological and anticorrosive tests.

关键词： Hardening Composite Metal Coatings Complex Tribological Tests Optimal Physical and Chemical Process Multivariate Regression-Tensor Analysis

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