The paper objective is to develop and implement import-substituting water-soluble quenching media Rosoil for heat treatment of metals. Comparative results of laboratory tests of Rosoil quenching media cooling capacity and imported analogues are presented. Laboratory tests to determine the cooling capacity of quenching media were carried out using UZS-2 domestic installation, which allows testing in accordance with the requirements of international standards ISO 9950, ASTM D6200 - 01 and ASTM D6482 – 06. The results of pilot tests and the introduction of new Rosoil waterpolymer quenching media are described.

The study objective is to evaluate the tribo-engineering properties of composite materials based on an aluminum matrix reinforced with steel or basalt in comparison with a material without reinforcement, and to develop a technology for obtaining such composite materials. Frames consisting of multidirectional fibers were used as reinforcing components: basalt wool (175-200 kg/m3 density); steel wool (4# class); melting temperatures of steel and basalt, which make up steel and basalt wool, are above 10000C, which makes it possible to pour aluminum without changing the aggregate state of reinforcing frames. The percentage of reinforcing components by weight is 4-5%. Deformable AB aluminum alloy was used as a matrix, which differs from the alloys of Al-Mg-Si system because of its higher level of tensile and yield strength. The composite materials under study were obtained by the liquid–phase method - casting according to melting models. Tribo-engineering properties were tested on a friction machine in the medium of Lukoil standard 10W40 SF/CC engine oil. To determine the anti-wear properties, tests were carried out for 1 hour, and to determine the antisize properties and the seizure load, tests were carried out with a constant increase in the load on the friction unit. The assessment of anti-wear and antisize properties was carried out by comparing the values of wear spots and seizure loads. It is found that the anti-wear properties increase by 76-85% when reinforcing samples with basalt wool and by 46-76% when reinforcing with steel wool in relation to an unreinforced sample. Antisize properties increase with basalt reinforcement by 23%, and decrease by 7% with steel reinforcement. Studies on assessing tribo-engineering properties of samples obtained by casting from AB aluminum alloy reinforced with basalt and steel have shown an improvement in anti-wear and antisize properties in relation to samples from AB alloy without reinforcement.

A method is proposed to give a comprehensive assessment of the effectiveness of liquid coolants (LC), including tribo-engineering, physicochemical and cooling properties. The results of introducing LCs at military-industrial enterprises are presented. The work results on the import substitution of LCs at military-industrial enterprises are shown. The results of comparative tests of imported lubricants in comparison with domestic coolant Rosoil are presented. It is shown that Rosoil LC is not worse than imported analogues in terms of basic operational characteristics.

Development of current element base computing devices for dynamic gas temperature measurements GTE Aleksandra Varganova, Anastasia Utesheva Automated assessment algorithm for the efficiency of the area occupied by the distribution devices of substations 35-220 kV with prefabricated tires Andrey Styskin, Nelja Urazbakhtina Parametric transformer designs with improved technical characteristics

Discussed Intelligent technology that will allow the administrative technical and operational staff of the System operator and Federal grid company of Unified energy system, safe operation of power equipment according to factual technical condition. Studies show that the prediction of the technical condition is the most effective method of improving the operational reliability of various equipment. Diagnosis and prediction of the state allow timely decisions on the need and scope of preventive work. These works are aimed at the timely detection of possible defects and maintaining the operational state of the electric power facilities. The article shows that the systems for diagnosing and predicting the state of complex technical objects belong to the class of poorly structured systems. The limited amount of reliable data on the actual technical condition of the object under investigation leads to the fact that it is necessary to use both quantitative and qualitative indicators. Uncertainty in assessing the state of the object required the introduction of intelligent technologies focused on working with knowledge. To this end, the article proposes a generalized architecture of an intelligent system for assessing the technical state of complex technical objects of electroenergetics.

Introduction.In recent years, computer technologies are more and more widely used in medicine. Thus, medical neuro‑ informatics solves diagnostic and forecasting tasks using neural networks.Materials and methods. Using the example of erysipelas, the possibility of forecasting the course and outcome of the dis‑ ease is demonstrated. A retrospective study of the medical histories of patients treated for erysipelas at the Ufa Clinical Hospital No.8 during 2006–2015 was carried out. Modern statistical packages and the MATLAB environment were used.Results and discussion.The conducted comparative analysis showed a 3-layer recurring network of direct distribution to be the most suitable neural network architecture. The optimal structure of the neural network was found to be: 27–6–1 (i.e. 27 neurons are used at the entrance; 6 — in a hidden layer; 1 — in the output layer). The best convergence of the network learning process is provided by the quasi-Newton and conjugated gradient algorithms. In order to assess the effectiveness of the proposed neural network in predicting the dynamics of inflammation, a comparative analysis was carried out using a number of conventional methods, such as exponential smoothing, moving average, least squares and group data handling.Conclusion.The proposed neural network based on approximation and extrapolation of variations in the patient’s medi‑ cal history over fixed time window segments (within the ‘sliding time window’) can be successfully used for forecasting the development and outcome of erysipelas.

2 ГБУЗ «Городская клиническая больница № 8» Республики Башкортостан, Уфа; 3 ФГАОУ ВО Первый МГМУ им.И.М.Сеченова Минздрава России (Сеченовский Университет

The issue of decision-making support in the assessment of the technical state of difficult technical objects in conditions when the ideas of the developed problem situation are indistinct, fuzzy and contradictory is discussed. The authors propose a cognitive model allowing to structurize the knowledge of the experts expressed in fuzzy categories and to develop the rule of coordination of opinions given by the group of experts on this basis for the purpose of preparation of reasonable estimates of the technical state of the objects under consideration. The model is based on the collective causal cognitive map describing influence, causality and system dynamics of factors-symptoms and factors-causes of the studied problem situation.

The paper considers the application of neural and neural-fuzzy algorithms in aviation gas-turbine engines diagnostic systems for engine failures detection and identification. This paper describes the construction of a mathematical model of gas-turbine engine and neuro - fuzzy failure classifier algorithm using Matlab and realization of this algorithms on modern microprocessors and FPGA.

Formulation of the problem: the spectrum of problems solved by modern mobile systems such as Android is constantly growing. This is because on the one hand by the potential opportunities that are implemented in hardware, as well as their integration with modern information technologies, which in turn harmoniously complement and create powerful ardware and software information systems, capable of performing many functions, including pro- information boards. Increasing the flow of information, complexity of the processes and of the hardware and software component devices such as Android, forcing developers to create new means of protection, efficiency and qualitative performing the process. This is especially important in the development of automated systems instrumental performing classification (clustering) of existing software into two classes: safe and malicious software. The aim is to increase the reliability and quality of recognition of modern built-in security of information, as well as the rationale and the selection methods of carrying out these functions. The methods used are: to accomplish the goals are analyzed and used classical methods of classification, neural network method based on standard architectures, and support vector machine (SVM - machine). Novelty: The paper presents the concept of the use of support vector in identifying deleterious software developed methodological, algorithmic and software that implements this concept in relation to the means of mobile communication. Result: The obtained qualitative and quantitative characteristics-security software. Practical value: the technique of development of advanced information security systems in mobile environments such as Android. It presents an approach to the description of behavioral malware (based on the following virus: none - wakes - Analysis of weaknesses - the action: a healthy regime or attack (threat)).

Analysis of the OS security for mobile devices (thec ase of Android OS) and formalizing the samples of malicious software were carried out in the paper. Based on received data an experimental sample describing behavior of malicious software was suggested and the choice of the best method of classification of the present [experimental] sample though experiments employing classical, neural network classification method, and also support vector machines was made. Desired goalin improving the effectiveness of malicious software detection was achieved through development of a method based on support vector machines and fuzzy logic. The present method was accomplished by means of research prototype of malicious software detection system.

The analytical dependence describing the efficiency of shock-inertial deposition of particulate matter depending on the properties of the trapped particulate material and operating parameters of the gas purification process is obtained. The design of a new shock inertial action device that makes it possible to optimize the process of gas clearing taking into account the characteristics of the trapped components is developed.

A mathematical model is developed that makes it possible to conduct numerical research of the influence of various factors on the hydraulic resistance of a centrifugal gas washer. Theoretical assumptions and a model combining aerodynamics, operating and design parameters of the apparatus are developed. An algorithm of calculating hydraulic resistance is proposed which is used in simulating the process of purification of gas emissions.

Приведен расчет траекторий движения частиц, который по¬зволит найти условия их улавливания и количественно определить влияние существенных факторов на процесс газоочистки. Выявлены расчетные комплексы, один из которых характеризует геометрию газопромывателя, а другой – его режимные параметры. Даны рекомендации по выбору средней осевой скорости в аппарате с учетом дисперсного состава пыли.

Проведено математическое моделирование и численное исследование движения закрученных потоков в динамическом газопромывателе. Для решения поставленной задачи следует исходить из осесиммет¬ричных уравнений Навье-Стокса с привлечением при формулировке гра¬ничных условий которые строго со¬ответствуют реальным центробежно-вихревым аппаратам как в геометрии области решения, так и учете конструктивных особенностей.