Diagnostic Subsystem Research Articles

Recent Upgrade of the Magnetic Diagnostic System in the Alvand-U Tokamak

The main acting parameters in tokamak plasma experiments, such as currents and electric and magnetic fields, are present inside and outside the plasma volume. To analyze the changes in the shape of tokamak plasma, it is necessary to use experimental data obtained from magnetic measurements. Until recently, a four-digit magnetic probe (MP) was used for qualitative analysis of the magnetic field, but its accuracy was low, and it could not be practically used as a diagnostic system. Following the Magnetic Confinement Group, Tokamak Laboratories’ approach to optimize and improve the measurement of plasma parameters, the use of a richer array of MPs to accurately measure changes in the magnetic field and identify plasma parameters in the Alvand tokamak was considered. In order to upgrade the magnetic diagnostic system, two MP arrays were designed and manufactured. Each array contains 12 poloidal and radial probes. The MPs of each array were attached to Mylar belts and mounted on the vacuum vessel of the tokamak. In addition, an integrator unit was designed and installed as a magnetic diagnostic subsystem. The conducted research involved the MP and calibration setup followed by preliminary tests of the array probe.

Recognition of signs of Parkinson's disease based on the analysis of voice markers and motor activity

Objectives. The problem of IT diagnostics of signs of Parkinson's disease is solved by analyzing changes in the voice and slowing down the movement of patients. The urgency of the task is associated with the need for early diagnosis of the disease. A method of complex recognition of Parkinson's disease using machine learning is proposed, based on markers of voice analysis and changes in the patient's movements on known data sets.Methods. The time-frequency function (the wavelet function) and the Meyer kepstral coefficient function, the KNN algorithm (k-Nearest Neighbors, KNN) and the algorithm of a two-layer neural network are used for training and testing on publicly available datasets on speech changes and motion retardation in Parkinson's disease. A Bayesian optimizer is also used to improve the hyperparameters of the KNN algorithm.Results. The KNN algorithm was used for speech recognition of patients, the test accuracy of 94.7% was achieved in the diagnosis of Parkinson's disease by voice change. The Bayesian neural network algorithm was applied to recognize the slowing down of the patients' movements, it gave a test accuracy of 96.2% for the diagnosis of Parkinson's disease.Conclusion. The obtained results of recognition of signs of Parkinson's disease are close to the world level. On the same set of data on speech changes of patients, one of the best indicators of foreign studies is 95.8%. On the same set of data on motion deceleration, one of the best indicators of foreign researchers is 98.8%. The proposed author's technique is intended for use in the subsystem of IT diagnostics of neurological diseases of a Smart city.

Удосконалення підсистеми діагностики та попередження кризових ситуацій у діяльності суб’єктів підприємництва

The article analyzes the current causes of the formation of crisis phenomena in the economy of Ukraine, also the main approaches to assessing the probability of occurrence of a crisis at enterprise. In order to improve the subsystem of diagnostics and prevention of the formation of financial crises, a conceptual model has been developed, which provides for the definition of the class of crisis of industrial enterprises on the basis of cluster analysis. Further, an assessment of the probability of occurrence of crisis situations on the basis of discriminant membership functions is carried out. The application of the conceptual model allowed to develop an approach to improving the system of anti-crisis management of enterprise on the basis of assessment of the sanitation potential of enterprise. A matrix model of choosing the sanitation strategy of enterprise on the basis of positioning of the enterprise in the two-dimensional plane depending on the level of sanitation potential and the class of crisis has been built. The type of sanitation strategy is determined, taking into account the class of crisis, the expedient way of implementing the strategy, corresponding to the actual and potential capabilities of the enterprise and the state of its sanitation potential. The key element of the proposed mechanism is the procedure for selecting and implementing the sanitation strategy depending on: the level of the sanitation potential of the enterprise and the class of crisis; external factors and the class of the crisis. The results of the study can be implemented in the activities of industrial enterprises for the formation and substantiation of crisis management.

Определение сопротивления в цепи тяговых электродвигателей по данным микропроцессорных систем управления

Purpose: To develop methodology for determining the actual resistance of traction electric drive (TED) circuits of a locomotive with electric power transmission and with refined calculation of voltage losses of a collector-brush apparatus according to microprocessor control system data. These data are necessary for calculating actual traction characteristics of a locomotive as well as its braking characteristics in electric braking modes. Methods: Methods of electric machine theory, statistical processing and regression analysis of experimental data were used. Results: Based on the statistical analysis of registration data of on-board diagnostics subsystem of 20 sections of 2TE116U and TEP70BS diesel locomotives, methods for determining resistance factual value for traction electric drive circuit as well as methods of refined calculation for voltage losses in a collector-brush apparatus are proposed and justified. The hypothesis on distribution normal law for the value of resistance and the possibility to use its mathematical expectation as an estimated value is confirmed. The limits of resistance possible changes for TED circuits of diesel locomotives 2TE116U and TEP70BS have been established. Practical significance: The results obtained allow us to clarify energy loss amounts in a locomotive traction drive when calculating its traction and braking characteristics. Data on the limits, allowed in exploitation, of active resistance change for TED serviceable chains may be used for operative diagnostics of locomotive power circuit.

PROBABILISTIC MODELS FOR RELIABILITY ASSESSMENT OF PIPELINE SYSTEMS

The issues of functional reliability assessment within the framework of the pipeline system reliability diagnostics subsystem are considered. The basis for the development of the functional reliability diagnostics subsystem is the breakdown of the pipeline system into emergency repair zones, as well as the replacement of the structure with the macro structure of emergency repair zones, which completely inherits the functional reliability of the system. A mathematical model is formed for each consumer Oi of the pipeline system, where and is the total number of consumers. If several consumers receive the target product from only one zone, then the corresponding mathematical models of functional reliability coincide. The following initial data are used to form a mathematical model of functional reliability in relation to the consumer Oi: calculation model of functional reliability in relation to all consumers. On the basis of emergency repair zones probabilistic models for calculating the functional reliability of pipeline systems have been developed, which are used in the algorithm for calculating the reliability of the entire system. The reliability of pipeline systems at the operational stage is supported by timely prevention and elimination of failures. A probabilistic model has been developed that makes it possible to assess the characteristics of the process of prevention and elimination of failures, to select the optimal parameters. Corresponding numerical calculations have been carried out. From the standpoint of a specialized organization that serves pipeline system, you need to minimize costs, while adhering to certain restrictions, namely: the deviation of the actual time of repair from the normative should not exceed the value, and all requests to eliminate accidents must be fulfilled. This means that the organization has a certain margin of capacity to service emergency calls. Minimize costs within the developed model can be solely due to the number of teams nmin, aiming at their maximum loading. So, we got the mathematical programming problem, which is: to find nmin, which maximizes the load function when the relevant restrictions are met. Keywords: model, subsystem, diagnostics, reliability, pipeline system.

RESULTS OF MONITORING THE INCIDENCE OF NON-POLIO ENTEROVIRUS INFECTION IN THE PRE-PANDEMIC AND PANDEMIC PERIODS

The results of monitoring the incidence of non-polio enterovirus infection (EVI) in the pre-pandemic and pandemic periods in the Khanty-Mansiysk Autonomous Okrug (2006-2021) are presented. It was found that the predominant share in the total incidence of EVI was urban population with a predominance of children under 6 years of age and school age. In the period 2020-2021. The low incidence of EVI was due to ongoing anti-epidemic measures against COVID-19 and was accompanied by the spread of enterovirus serotype CVA6, which is able to effectively implement the aspiration mechanism of transmission of the infectious agent and cause respiratory and exanthemic diseases. The spread of CVA6 was influenced by the growth of migration activity of the population, due to the partial lifting of restrictions and an increase in the non-immune stratum of the population due to a decrease in the incidence of EVI in 2020. The results of the study will contribute to the adoption of measures leading to a decrease in the incidence of EVI in the Khanty-Mansiysk Autonomous Okrug, rational planning of preventive measures, by improving the information and diagnostic subsystems of epidemiological surveillance. To solve these tasks, it is necessary to further study the spectrum of enteroviruses circulating on the territory of the Khanty-Mansi Autonomous Okrug, the frequency of their occurrence in subclinical forms of EVI and as etiological agents of enterovirus meningitis, the development of molecular genetic typing techniques using mass parallel high-performance sequencing technology, the study of molecular genetic characteristics. All this will reduce the risks of EVI morbidity in the post-pandemic period and ensure the sanitary and epidemiological well-being of the population and prevent the spread of EVI in the Khanty-Mansi Autonomous Okrug.

Определение затрат энергии на гидростатический привод мотор-вентиляторов охлаждающего устройства дизеля тепловоза ТЭП70БС по данным микропроцессорной системы управления

Purpose: Development, testing methodology for the definition of energy expenditure on hydrostatic drive of cooling device motor fans of diesel locomotive TEP70BS. Energy expenditures on drive of cooling devices motor-fans constitute significant part in the total volume of energy expenditures for auxiliary needs. When determining diesel cooling device power, picked for motor-fan drive, it is necessary to take into account the influence of motor-fan drive technical condition and diesel cooling system general technical condition. The given task can be solved by the way of statistical analysis of the information, being registered by TEP70BS locomotive on-board diagnostics subsystem when performing corresponding analytical calculations. At the same, it is necessary to account for the peculiarities of functioning of motor-fan hydrostatic drive under various loading modes. Methods: Statistical processing and analysis of measurement results. Analytical calculation of a hydrostatic system on the basis of processing of measurement results. Reduction of hydrostatic drive parameters to non-nominal modes. Results: Methodology of energy expenditure analytical calculation on the basis of statistical analysis of data on motor fan operating modes is proposed. Probable values of power, spent on motor-fan drive for various controller positions, are determined. It is shown that for controller nominal position, average power consumption for being considered sample of five locomotives will constitute 23.2 kW per two fan motors. Practical importance: The use of the presented methodology allows to raise significantly the determination accuracy for power, being picked for auxiliary needs and, as a result, to increase calculation accuracy for traction characteristics and fuel consumption characteristics of TEP70BS diesel locomotive.

Prospects for using soft processors in systems-on-a-chip based on field-programmable gate arrays

Objectives. Developing the element base of field-programmable gate arrays (FPGA) may significantly affect the design of electronic devices due to the enhanced logical capacity of such chips and the general tendency towards increased subsystem integration. The system-on-a-chip (SoC) concept is aimed at combining receiving, processing, and exchange subsystems onto a single chip, as well as at implementing control, diagnostic, and other auxiliary subsystems. The study aimed at developing a method for soft processor applications, i.e., processors based on configurable logical resources, for implementing control functions in an FPGA-based SoC.Methods. A digital system design methodology was used.Results. For soft processors, a unified design route based on selecting architectural parameters qualitatively corresponding to control tasks was considered. In particular, such parameters as instruction set addressness, number of pipeline cycles, and arithmetic logic unit configuration are adjustable at the design stage to allow the optimization of the soft processor in the discrete parameter space. An approach to rapid prototyping of the assembler based on stack-oriented programming language with regular grammar was also considered. The control of digital signal processing hardware as part of an SoC is the promising application area for soft processors. An implementation is considered on the example of an SoC based on Xilinx Virtex-7 FPGA containing several processor cores developed using the proposed methodology.Conclusions. The considered approaches to soft processor design allow the rapid prototyping of the control processor core for operation as part of an FPGA-based SoC.

CURRENT TRENDS IN THE DEVELOPMENT OF INNOVATION POTENTIAL OF DOMESTIC ENTERPRISES IN THE CONTEXT OF NATIONAL SECURITY

The article focuses on the close relationship between industrial development and economic growth in the context of focus on innovative development. The structure of potential of domestic enterprises is studied, the main elements of which should be provided by close interrelations in the enterprise management system. The external and internal factors influencing the formation and development of the potential of domestic enterprises are singled out. The problems of ensuring the potential of enterprises in the industrial sector of the national economy are studied. The importance of forming a national innovation system is emphasized. Approaches to diagnostics of realization of innovative potential of the enterprise in the context of national security of the country are substantiated. The main factors that hinder the development of innovation potential of domestic enterprises are identified. The components of the innovation potential management system are studied, including the subsystems of planning, motivation, organization, monitoring, control and the subsystem of diagnostics of innovation potential.

METHODICAL REGULATION AND ANALYTICAL AND INFORMATION SUPPORT OF "SMART HOME" PROJECTS IN THE MODERN CONSTRUCTION DEVELOPMENT SYSTEM

The article is devoted to the impact of the development of information, communication and digital technologies on the transformations taking place in "smart home" construction projects. Modern technological trends in the development of the digital economy have been studied. Prerequisites, challenges and drivers of digital transformation of domestic business structures are structured, with their division into external and internal, which can act as a basis for determining the vectors of innovative development of enterprises based on "numbers". It was determined that digital technologies and data obtained from their use can provide new sources of knowledge, innovation and profit for business. It is noted that information and communication technologies are a fundamental stimulus for the growth of international production. Coordination of increasingly complex and scattered global production networks could not be possible without significant improvement in communication capabilities. The directions of the main transformations taking place in the existing approaches to the organization and management of international production systems are determined. As a systematic scientific and applied support for the competitiveness of enterprises implementing construction projects on the basis of the introduced methodology and the corresponding apparatus of formalized decision-making, the toolkit of digital administration was substantiated by the activities of СЕ-S (construction enterprise-stakeholder). The leading subsystems of the toolkit are the following: an integrated analytical and diagnostic subsystem, which, using a special system of indicators adapted to the economic, operational-production, functional-technological and administrative features of СЕ-S, provides a comprehensive analysis of the equilibrium level of BP-S regarding the enterprise's preservation of progressive development or certain (non-critical, risky, to critical, critical) deviation of the enterprise in this trajectory; subsystem of organizational management with the introduction of innovative management, organizational-administrative and information technologies; СЕ-S personnel motivation subsystem, which is integrated into the enterprise management circuit. With the use of the specified subsystems, the toolkit provides economic controlling, administration and adjustment of CE activities. On its basis, the obligation of economic, managerial, organizational, technical and administrative measures aimed at adaptive adjustment of the content, operational and strategic priorities in BP-S activities, countering risk factors, with the aim of avoiding and countering cost-economic, administrative-management and structural-technological deviations from the directive trajectory of the enterprise as a whole, and, in particular, within the scope of the project in which CE-S is currently conducting its activities. In this way, the toolkit provides the essence of the digital transformation of enterprises to the format of the integrator of the functional, production and logistics subsystems of the operating system of the enterprises of construction stakeholders.

Studying the Diagnostic Effectiveness of English Education Based on Rule Mining and Question Type Association Analysis

The greatest difficulty in implementing diagnostic assessment lies in the tracking, recording, real-time feedback, and correction of English learners’ learning process, and these difficulties are difficult to be solved when human beings (teachers or students) are the assessment subjects. To this end, this paper uses data mining to build a question type association model, machine learning to build an English education prediction model, and finally adds the existing knowledge point association model to the system to obtain a diagnostic evaluation model. Based on the diagnostic evaluation model, a question association rule-based algorithm is designed and implemented and validated in three aspects: grouping time, test recommendation, and performance improvement. Based on the requirements analysis, the authors designed and implemented a diagnostic assessment subsystem using the diagnostic assessment model and the related paper grouping algorithm and added it to the university English diagnostic practice system. The diagnostic assessment model for English education proposed in this paper can accurately evaluate the learning status of English learners, dynamically diagnose the learning obstacles of English learners, and effectively provide better practice guidance and test recommendations for English learners’ learning status and knowledge-based question type obstacles.

Определение затрат энергии на возбуждение тягового генератора по данным микропроцессорных систем управления для прогнозирования тяговой характеристики локомотива

Purpose: Development and approbation of the methodology of definition of energy expenses on excitation of traction generator of diesel locomotive on the stage of locomotive traction characteristic prediction. While definition of diesel power spent on traction generator excitation during prediction of traction-energy characteristics of diesel locomotive it’s necessary to consider current technical state of an exciter and traction synchronous generator. This task can be solved as a result of statistical analysis of information being registered by subsystem of board diagnostics of contemporary diesel locomotives. Methods: It’s used in the work the methods of preprocessor handling of information volume and statistical analysis of formed sampling. Results: There have been obtained the dependences allowing to predict with high precision the expenses of power for traction generator excitation in various work modes of diesel locomotive on the basis of preliminary analysis of data of board diagnostics subsystem. The necessity of such analysis is preconditioned by large scatter of parameters of magnetic system of traction synchronous generators and, hence, power values spent on their excitation which reaches 100% for generators 2TE116U at 40 kW power. Practical significance: The obtained results help to rise definition accuracy of traction-energy properties for particular locomotive.

Определение затрат энергии на подзарядку аккумуляторной батареи тепловоза по данным микропроцессорной системы управления

Purpose: Development and approbation of the methodology of the definition of power expenses on booster charge of diesel locomotive rechargeable battery with the purpose to clarify tractive calculations. While definition of power expenses on charge of a battery it’s necessary to take into account the current state of a battery itself as well as of starter-generator implementing this battery charge. This task can be solved as a result of statistical analysis of information being registered by subsystem of board diagnostics of modern diesel locomotives. Methods: The methods of preprocessor treatment of information array and statistical analysis of formed sampling have been proposed. Results: Capacity probable values, spent on battery charge in the process of diesel locomotive exploitation, have been defined. With 95 % probability for 14 section of diesel locomotives of 2TE116U series, average charging capacity of rechargeable battery doesn’t exceed 2.6 kW at expected value of 1.4 kW. Practical significance: The obtained results allow to clarify capacity value selected for auxiliary needs and as a consequence to rise accuracy of locomotive tractive-energetic properties.

Development of diagnostic subsystem for manufacturing active elements in instrument-making industry

Ensuring the quality of products on the production line requires application of the automated diagnostic systems in the robotic complexes to control their performance. The aim and research problems are defined by analyzing the existing automated diagnostic systems of technical units at manufacture active elements in the instrumental-making industry. On an example of industrial robots working in the manufacture enterprises at instrument-making industry there were determined the sensor tools for information-measuring their moving parts and a working status of the mechatronic units, as well as a scheme of the sustainable diagnostics of automated control system of active elements of the researched technological process. To ensure the stability of an automatic diagnostic system for industrial robots working in a production module it was proposed to use general diagnostic testing tools for the automated process control system, elements for replacing faulty elements and a decision-making subsystem for diagnosing industrial robots. A hierarchical scheme of diagnostic subsystem of active elements in the automated control system of the manufacturing enterprise uinder study is given, as well as the work principals for every hierarchical level

Interplanetarymedium monitoring with LISA: Lessons from LISA Pathfinder

The Laser Interferometer Space Antenna (LISA) of the European Space Agency (ESA) will be the first low-frequency gravitational-wave observatory orbiting the Sun at 1 AU. The LISA Pathfinder (LPF) mission, aiming at testing the instruments to be located on board the LISA spacecraft (S/C), hosted, among the others, fluxgate magnetometers and a particle detector as parts of a diagnostics subsystem. These instruments allowed us to estimate the magnetic and Coulomb spurious forces acting on the test masses that constitute the mirrors of the interferometer. With these instruments, we also had the possibility to study the galactic cosmic-ray short term-term variations as a function of the particle energy and the associated interplanetary disturbances. Platform magnetometers and particle detectors will also be placed on board each LISA S/C. This work reports on an empirical method that allowed us to disentangle the interplanetary and onboard-generated components of the magnetic field by using the LPF magnetometer measurements. Moreover, we estimate the number and fluence of solar energetic particle events expected to be observed with the ESA Next Generation Radiation Monitor during the mission lifetime. An additional cosmic-ray detector, similar to that designed for LPF, in combination with magnetometers, would permit to observe the evolution of recurrent and non-recurrent galactic cosmic-ray variations and associated increases of the Interplanetary Magnetic Field at the transit of high-speed solar wind streams and interplanetary counterparts of coronal mass ejections. The diagnostics subsystem of LISA makes this mission also a natural multi-point observatory for space weather science investigations.

MODEL AND METHODS OF MANAGEMENT OF EFFICIENCY OF USE OF PRODUCTION AND TECHNOLOGICAL POTENTIAL OF ROLLING STOCK OF RAIL TRANSPORT

The article considers the problems management of efficiency of use of production and technological potential of rolling stock of rail transport. It is investigated that to improve the efficiency of functioning requires a comprehensive solution of many problems, with the rational use of labor, material and labor resources. A set of many tasks aimed at improving and ensuring the level of efficiency of rail transport facilities and systems is considered. It is investigated that in order to achieve the required level of efficiency of rolling stock operation it is necessary to improve the management process by system model of the set of problems of efficiency of use of production and technological potential of work of rail transport.As a result of solving the problema mathematical model of the set of problems was proposed, which became the basis for building a system model of the set of problems. The decomposition method and AllFusion Process Modeler software were used to build the system model. The paper considers the task of ensuring the required level of efficiency in the use of production and technological potential of rolling stock and the proposed ways to solve it. There is also a comprehensive review of objects, systems and processes, which involves their identification, providing a formalized description. On the basis of which a model and method of diagnosis were proposed, which inopen the possibility of interaction between the management of the subsystem of diagnostics and planning of work of objects and systems of rolling stock on the basis of the actual technical condition. The solution in this way will increase the indicators of the main aspects of production and technological potential, which is the purpose of this work.

CREATION AND ANALYSIS OF THE STRUCTURE OF INTELLECTUAL DIAGNOSTIC SYSTEM OF INDUSTRIAL ROBOTS APPLIED IN EQUIPMENT MANUFACTURING

Based on comparative analysis of the current state of the issue, the main research tasks of the study were put in order to solve the current problem. The structure of the automated diagnostics system of typical industrial robots applied in flexible manufacturing systems of the appliance industry has been proposed. , The scheme of stable diagnostics of industrial robots applied in the flexible manufacturing system and also their mechatronics parts was proposed. To ensure the sustainability of the automated diagnostics of the industrial robot operating in the robotics complex, a scheme consisting of general diagnostic testing tools of the automated process control system, means of replacing faulty elements and diagnostic decision-making subsystem has been proposed. The automation scheme of the diagnostic system of technological equipment controlled by digital software, which is serviced by industrial robots in the flexible manufacturing system under study, has been proposed. The analysis of the proposed architecture of the industrial robot and its mechatronics diagnostic system was carried out. In one work turn, for the automated diagnosis of mechatronic parts of an industrial robot, the accuracy of its operations, hardness, power supply, oil content of mechanical parts, etc. requirements for verification of technical procedures have been identified. For the analysis of the architecture of the control and diagnostic system of the research object, the regulation of linear and angular displacements of the industrial robot at hierarchical levels (level 1), software testing of the current state of its execution mechanisms (level 2), automated workstation and control node connection is provided (level 3). For the automatic diagnostics of the industrial robot, the requirements for the sounds generated between the kinematic displacement points are in the accepted sound range, the vibrations in the kinematic displacement points are in the required range, and the power supply is in the required range. Automation of control and monitoring functions of the diagnostic system with the help of the server of the local industrial network of the industrial robot performing service functions in production is provided by SCADA. Keywords: instrumentation industry, flexible manufacturing system, diagnostic system, industrial robot, mechatronics part.

Control System of a Robotic Irrigation Machine Based on the Mamdani Fuzzy Algorithm

The article analyzes the tasks that can be solved by agricultural robots. The purpose of the study was the robotization of the "Fregat" type crop irrigation machine by the fuzzy control of irrigation technological processes, which allows to control the irrigation rate. It is proposed to use in a robotic irrigation machine the analog valve-setter of the speed of the last cart, powered by electricity. It is recommended to include a diagnostic subsystem in the fuzzy control system of the flow control valve, which includes sensors for measuring the soil moisture and the slope of the irrigation machine in various areas of the field. The mathematical model of fuzzy control of the irrigation machine is developed based on the software control of the water supply depending on the terrain of the field, the speed of irrigation machine and soil moisture to reduce water consumption and improve the efficiency and quality of irrigation. The Mamdani algorithm, which is implemented in the MATLAB package, is proposed as a fuzzy inference system. The formalization of the description of the indicators of the irrigation machine is carried out by specifying linguistic variables. The proposed mathematical model can be used in the design of control systems for other robotic agricultural machines.

Calibration of the ITER outer vessel steady-state magnetic sensors

The outer vessel steady-state magnetic field sensors (OVSS), a subsystem of the ITER magnetic diagnostics, consists of 60 units that will be installed on the vacuum vessel outer shell. Each OVSS unit features a pair of Hall sensors with a sensing layer made of bismuth and an onboard thermocouple. Prior to the installation of the sensors on ITER, OVSS will be subject to the complex calibration process designed to satisfy the ITER requirement for the measurement accuracy of 4 mT (2σ) in the range of the magnetic field from 0 to 2.5 T.The calibration process includes the calibration of the onboard thermocouple, sensor controller calibration, measurement of tilt of each Hall sensor with respect to the OVSS housing, and the measurement of the sensitivity of Hall sensors as a function of temperature and magnetic field for the range of ITER-relevant magnetic fields and temperatures. The expected calibration error projected to the magnetic field measurement of 2.5 mT will allow to meet the required measurement accuracy.

System management technology for technical maintenance of transport and technological machines

The paper considers the generalized structure of maintenance system, including, in the general case, the protection subsystem, the functional diagnostics subsystem, the test diagnostics subsystem, the maintenance and repair subsystem. The technical implementation of the listed subsystems is possible in the form of tools built into the object and in the form of tools external to the object. For the generalized structure of the transport and technological machines maintenance system, the possible ratios of the volumetric characteristics of built-in and external subsystems are analyzed (using the simplest analytical expression). The possibility of formalizing the control process of a generalized system of technical maintenance of autonomous objects within the framework of a finite-automaton model is discussed. In accordance with this model, it is proposed, first, to consider the on-board maintenance system as an operational automaton; second, each of its subsystems should be considered as a separate internal automaton that implements its own technological algorithm; third, the interaction of the four automata should be organized within the control automaton for the above-mentioned operating automaton. The algorithm for the functioning of this control automaton has been synthesized.