bluuebunny/crossref_metadata_2025_split huggingface dataset:
Application of artificial neural networks to fault diagnostics of rotor-bearing systems
Authors: Kornaev N , Kornaeva E , Savin L 
Published: May 2020

Abstract
The article is dedicated to the pattern recognition of unbalanced rotor vibration trajectories. The diagnostics of rotary machines with fluid-film bearings is studied. The feed forward neural networks were used to analyze the measurement data of rotor vibrations and other parameters of the rotor-bearing system. The states of the system were studied at various values of the rotor unbalance. It was shown that the number of training samples and the number of neurons in the input layer have the greatest impact on recognition accuracy. As a result of training the neural network to recognize 3 classes of defects, an accuracy of more than 97% was achieved.
The e-objects family in simulation of mechatronic facilities
Authors: Zakoldaev D A , Shukalov A V , Zharinov I O , Zharinov O O 
Published: May 2020

Abstract
The very impotent modern industrial problem is to design a family of the mechatronic facilities electronic objects (e-objects). E-objects are an software of description of real mechatronic robotic objects being used in the engineering and production of future facilities. E-objects are placed in the cloud and let real mechatronic robotic objects to be described adequately and the properties of intelligent robotic systems (IRS), the properties of the device being manufactured, the properties of engineering and production processes, etc. To project e-objects is a component of the synthesis project problem of the future mechatronic robotic facilities. A family of e-objects, which are adequate for the product life-cycle is shown. The product lifecycle is shown. The place of each e-objects family are defined to realize product life-cycle.
Semantic analysis implementation in engineering enterprise content management systems
Authors: Ivaschenko A V , Stolbova A A , Krupin D N , Krivosheev A V , Sitnikov P V , Kravets O Ja 
Published: May 2020

Abstract
The paper introduces a new solution for semantic analysis implementation in modern enterprise content management (ECM) systems. The system of semantic analysis is intended for the intellectual analysis of enterprise official and technical documents based on machine learning, namely the extraction of the specified attributes from them for further use. In this paper it is proposed to implement semantic search using the extracted data configurator, which is responsible for creating and managing ontologies. From the configurator of the extracted data by the name of the document type, a graph is generated containing attributes to be extracted (official terms and sections, dates, etc.), regular expressions to search for sentences that probably contain the desired attribute, Yargy and regular rules for extracting attributes from the arrays of sentences. The proposed solution was successfully probated and tested on a dataset containing engineering enterprise contract agreements and protocols.
System analysis of the cognitive radio system operation algorithm efficiency
Authors: Blagodatsky Gregory A , Kopysov Andrej N , Khvorenkov Vladimir V , Baturin Ivan S 
Published: May 2020

Abstract
The report presents an algorithm for optimal control of a cognitive radio communication system. The algorithm is based on the application of decision-making criteria in a dynamic environment. The basis of the algorithm is to solve the problem of maximizing the system efficiency coefficient in a given mode. Thus, the cognitive radio communication system can choose the most optimal mode of operation, both in a specific situation, and choose the general preferred mode of operation for a comprehensive assessment of the external situation. From the effectiveness of the radio system in analog and digital modes, we can conclude that in the event of time limitations it is more useful to control the transmitter power (increase the energy of the radio line). However, when working in digital modes, the decrease in efficiency is much slower than when using analog modes. An analysis of the operation under conditions of restrictions on the transmission power also shows a slower decrease in efficiency in digital modes with slow consumption of resources, while consumption increases sharply in analog mode.
Assessment of planning methods at job-order manufacturing facilities
Authors: Kuznetsov A S , Noskova E E 
Published: May 2020

Abstract
An approach to assess the efficiency of solving the problem of production planning at job-order small-scale manufacturing is presented. In consideration of their dimensionality, initial data are analyzed to build an optimal plan based on known scheduling methods for the production of different types. Reducing performance time of production plans by 10 % at the increase in the size of the order with technological operations for processes of different types at the use of directed exhaustive methods is shown.
Digital algorithms for supply chain automation of mechanical engineering production
Authors: Borisoglebskaya L N , Sergeev S M , Provotorova E N , Zaslavskiy A A 
Published: May 2020

Abstract
The modern concept of the developing engineering production is based on a digital interaction. At the same time, management of all related processes is possible due to a digital shadow at each stage of work. This primarily related to supply, marketing and interoperational units within the enterprise. The solution of the automation problems of the industrial production, matching to the priorities of the Industry 4.0 program is ought to begin with the organization of the inter-machine interaction M2M. This article presents the results of a study devoted to a search for optimal algorithms for managing the flow of goods and cargoes of the engineering production in modern supply chain management concepts such as 3PL logistics, pick-by-line, cross-docking, as well as ensuring the implementation of managerial decision-making systems based on outrunning economic indicators.
Method of forming of the program of issue of competitive products of machine-building industry
Authors: Antamoshkina O I , Zinina O V , Stupin A O 
Published: May 2020

Abstract
Scientific and technical developments of the engineering industry are currently underutilized for the innovative development of the economy enterprises. The capabilities of the available technological base and personnel potential allow to significantly increase the profitability of financial and economic activity to the introduction of a new product into the market. At the same time, it is necessary to rely on models, which establish dynamic connection of parameters of state of production and operation spheres with characteristics of consumer cost of products and allow to create on their basis complex procedures of forecasting and optimal planning by selection of best options from among alternatives.
Intelligent quality management tools for digital production and knowledge management system for their application
Authors: Chesalin A N , Grodzenskiy S Ya , Nilov M Yu , Pham Van Tu 
Published: May 2020

Abstract
Due to the evolution of the digital production technologies and the transition to the cyber-physical systems, new methods of controlling technological processes and managing business processes of modern enterprises are needed. In the article we investigate the problem of improving quality management methods for the organization and management of modern digital production. Various methods of quality management, both traditional and modern, are considered. The concept of digital production quality management based on artificial intelligence and information technologies is proposed. As a basis for the implementation of the intelligent quality management methods in the management of digital production we consider the development of a knowledge management system for their effective application.
Ergonomics of the workplace in the lean production system
Authors: Vadulina N V , Abdrahmanov N Kh , Fedosov A V , Savicheva Yu N , Khlopina I D 
Published: May 2020

Abstract
The article considers the possibility of introducing ergonomic indicators of the workplace into the system of lean production of the machine-building enterprise. The feasibility of taking into account ergonomic indicators is proved by the main tool of lean production - mapping of the flow of creation of production of the “shaft” part. Studies have shown that the accounting of ergonomic indicators allows to identify losses related to psychophysical factors affecting the employee, environmental factors of the employee (including production equipment) and eliminate them by planning and developing appropriate measures.
Automation of Russian industry as an indispensable condition for sustainable economic development in the digital environment
Authors: Avdeeva E A , Averina T A , Davydova T E , Zhutaeva E N 
Published: May 2020

Abstract
Today, robots are actively being introduced in all sectors of the economy from the production of industrial goods to the service sector. The leader in this area is China, it is ahead of the United States and Europe. Russian industrialists are quite conservative in technological updates. It was emphasized that robotics and automation, combined with the cybernation, mark a radical turning point in society. The importance of industrial automation in solving technical, technological, socio-economic and environmental problems is shown. Models of economic growth in industry, in particular P. Romer, confirm that the rate of economic growth is directly dependent on the amount of technological innovations. The negative aspects of automation, which consist in a sharp reduction in employment, are also emphasized, but long-term forecasts, on the contrary, indicate its increase, but a change in the structure of professions.
Fundamentals of the economic growth of engineering enterprises in the face of challenges of the XXI century
Authors: Chursin A A , Grosheva P Yu , Yudin A V 
Published: May 2020

Abstract
The world economy is currently undergoing an irreversible transformation caused by the fourth industrial revolution, characterized by the merging of technologies and the blurring of borders between the digital, industrial and biological spheres. The main factor in creating a unique product in the face of the challenges of the 21st century, aimed at meeting future needs is the continuous growth of innovative potential associated with the development and implementation of new technologies and equipment, improving management methods. At the same time, companies need to constantly monitor the technological development of all market players and industries in order to maintain the competitiveness of existing and create new unique products that can lead a company to long-term competitive leadership.
Lean manufacturing - a method of managing a manufacturing enterprise
Authors: Moskvicheva E L , Mukhametshina A M , Erofeyev A N , Savelyev K V 
Published: May 2020

Abstract
The article describes the relevance of the concept of “lean production” based on the analysis of manufacturing enterprises. The main methods of lean production are highlighted. The features of the method implementation are formulated. To ensure the reliability of the conclusions, we used materials from scientific conferences, publications of domestic and foreign experts on the problems of lean production, and actual data of industrial enterprises. The methods of classification, comparison, system analysis, and generalization were used. The research results will allow industrial enterprises to correctly use such lean production tools as 5S, Kaizen, Kanban, Poka-Yoke, etc., and build a management model focused on continuous improvement. Both the positive aspects of the “lean production” concept and a number of specific difficulties and features that the company has to overcome to create an effective lean production system are shown.
Poly-model description of Industry 4.0 cyber-physical systems
Authors: Zakoldaev D A , Gurjanov A V , Shukalov A V , Zharinov I O 
Published: May 2020

Abstract
An actual task is to project a cyber and physical system (CPS) of industrial purpose based on a set of graphs and analytical models which describe the CPS behavior in the physical device level and in the virtual level. There is a scheme and description of CPS functionality principle as an automatic control digital system. The advantages of subtractive equations to describe a CPS are described and also the restrictions to use automatic models to synthesize the systems of higher order (digital production). There is a scheme and CPS functionality principle as a company cloud environment element is described (digital twin) which is based on a uml-diagram. There are advantages and disadvantages to describe a CPS with a uml-diagram given when they model CPS behavior as a part of digital production. There is a scheme given and CPS functionality principle is described using a Petri net model. It is clear that all three types of CPS description must be viewed together as a poly-model division which helps the CPS designers to create and research the project solutions of the Industry 4.0 digital production components synthesis.
Conceptual model of the empirical data multidimensional presentation on the state of forming critical information infrastructure
Authors: Kalach A V , Burkova K O , Kulikova T N , Buharov E O , Scherbin A N 
Published: May 2020

Abstract
Conceptual model presented in the work is based on the synthesis of generalized representations comprising of the separate processes and phenomena which describe behavior of the investigated system (object) in the critical informational infrastructure. Conceptual model of providing cyber-resilience for the objects of critical informational infrastructure within the departmental information network integrated by informational-telecommunication public network into cyber-space and representing stochastic dynamics of the destructive informational impacts on the objects is given in the form of a common framework and processes (functioning, impacts and providing of cyber-resilience) which gives their most significant links.
Analysis of routing processes in telecommunication networks with unsteady flows using Markov processes
Authors: Kravets O Ja , Shaytura S V , Minitaeva A M , Atlasov I V 
Published: May 2020

Abstract
This article is devoted to the problems of investigation of routing processes in the large distribution systems. The numerical decision systems of the nonlinear equations for a preset network, traffic and conditions of functioning allows to implement determination of a probability-time characteristics of a network, carry out a rating of used algorithms of routing, methods of streams control. The identification of parameters of model of the routing process close to best values is possible during a repetitive process of search of the solution of a system of nonlinear equations. The designed analytic model of processes of multiparameter routing in networks based the theory of finite Markov chains, queuing theory etc., allows to define probability-time characteristics of a networks. Structure and the methods of model construction provide its practical applicability for auto configuration of routing algorithms and traffic control for specific topological structures, channels characteristics and traffic between routers of a network.
Data processing of robotic parameters in intelligent robotic systems
Authors: Shukalov A V , Zakoldaev D A , Zharinov I O , Zharinov O O 
Published: May 2020

Abstract
The scientific problem of developing the processing of technological data generated by the intelligent robotic systems (IRS) in the mechatronic robotic process is considered. It is shown that mechatronic robotic data is generated simultaneously in the real IRS and in the cloud-based IRS. In the real IRS, data is captured by a system of sensors built into the IRS process chamber. In the cloud-based IRS, mechatronic robotic data is generated by simulating production processes in a modelling tools (in the cloud) using the IRS digital twins. It is shown that the quality of mathematical data processing acceptable for implementation in mechatronic robotic industry is achieved using mathematical methods of regression analysis. Regression analysis allows you to detect the disorder of difficult to control production processes, accompanied by the formation of time series of mechatronic robotic data having a stochastic nature. Structural schemes of the mathematical processing of mechatronic robotic data in industrial IRS is described.
Automation of information entropy assessment process for large production systems and their components
Authors: Polishchuk Y V , Chumakov R V 
Published: May 2020

Abstract
In the framework of this work, an assessment method is considered and an application is proposed that implements the ability to calculate information entropy for large production systems. The importance of informational entropy for large production systems and their components allows a group of decision-makers to assess the prospect of generating managerial decisions from the perspective of completeness of knowledge about the state of the system based on available factual data.
Convolutional neural network for detecting anomalies in the control system of a machine-building enterprise
Authors: Kusakina N M , Orlov S P , Kravets O Ja 
Published: May 2020

Abstract
The article is devoted to the study of the possibility of using machine learning methods and the apparatus of neural networks to ensure a given performance and security of the enterprise infrastructure. Continuous monitoring of computer networks and enterprise resource planning systems determines the stability of the enterprise. The infrastructure of any enterprise is gradually expanding and increasing, not only due to the growth of the geography of networks, but also due to the use of equipment from various manufacturers. Therefore, it is important to create intrusion detection and prevention systems with automated monitoring of equipment, processes and user activity. The article describes the use of convolutional neural networks for predicting indicators and technical characteristics of equipment and communication channels. An anomaly detection module structure has been developed for monitoring the operation of the enterprise resource planning system. An example of training data for a neural network is given. The experimental results confirmed the effectiveness of the proposed approach.
Augmented reality for SCADA
Authors: Byvaltsev Sergey V 
Published: May 2020

Abstract
Questions of construction of the Augmented Reality for application in SCADA-systems are considered. It is marked, that last years researchers from Russia actively started studying this branch. The author considers the augmented reality in a section of a reality-virtuality continuum taking into account restrictions of memory of the operator and social aspect of application augmented reality. Recommendations on environmental analysis and reading of data from display devices are given. The greatest efficiency of application augmented reality is seen in joint activity and carrying out of works which demand coordinated work. The necessity of the further researches for developing of network architecture, safety, confidentiality and protection against extraneous intervention is noted. Advantage of augmented reality is reuse of software, databases and knowledge. At the replacement of maintenance staff and users of SCADA-system there is no need to teach them all the knowledge and skills at once. They will receive them directly in the process of application.
Adaptive fuzzy model for detecting of vulnerabilities of unmanned vehicles interfaces based on evaluation of the information state of resources
Authors: Skatkov A V , Bryukhovetskiy A A , Moiseev D V 
Published: May 2020

Abstract
An adaptive model for detecting vulnerabilities in the interfaces of unmanned vehicles based on dynamic assessment of information states of resources is proposed. The method is based on fuzzy logic and immunological principles. Rules classify objects belonging to several classes at the same time with different degrees of belonging. Resource state recognition is performed under conditions of a lack of a priori information about the properties of the intrusion source and the stochastic nature of the recognized events. To increase the level of reliability of vulnerability detection, the model makes adaptive dynamic tuning of decision-making rules for classifying the information state of unmanned vehicle resources.
A conceptual model of communication for intelligent agents in the infrastructure of smart transportation systems
Authors: Shevchenko V I , Skatkov A V , Bryukhovetskiy A A , Chengar O V , Kokodey T A 
Published: May 2020

Abstract
In this article, at a conceptual level, the issues of data exchange between objects of a complex cyber-physical system using a multi-agent approach are considered. A multi-agent communication model of intelligent agents is described, which is the interaction of participants in the Smart Transportation information management space. Unmanned vehicles, pedestrian mobile devices, smart traffic lights, traffic signs and other infrastructure of the Smart City are considered as model agents.
Security threats of NB-IoT and countermeasures
Authors: Mentsiev Adam U , Magomaev Tamirlan R 
Published: May 2020

AbstractIoT technology is already an integral part of our business and social life. This technology can be seen in almost every big city in Russia. Many leading countries are at a relatively high level of mass adoption of the Internet of Things technology. Many areas of the country’s activity are directly dependent on the Internet of things: “smart house”, “smart city”, digital agriculture, automation of production, Industry 4.0, etc. At the same time, it is necessary to take into account the fact that the multifaceted use of technology entails a special interest of attackers and an increase in security threats. Here, for specialists, the question of ensuring security arises. This article discusses the characteristics of the Internet of things devices, the main threats to the security of the narrowband Internet of things and provides recommendations for countermeasures.
A mathematical model for assessing security of restricted-access information
Authors: Rosenko A P , Petrenko V I , Tebueva F B , Gerasimova A A 
Published: May 2020

Abstract
An immediate problem of the theory on information security lies in measuring security of restricted-access information. The existing methods are not capable to solve the above problem due to lack of a priori background information. The paper is aimed at filling the gap created in the theory on assessing RAI security using quantitative approach.
Spectral curves for the multi-phase solutions of Manakov system
Authors: Smirnov A O , Frolov E A , Gerdjikov V S 
Published: May 2020

Abstract
The hierarchies of multi-component models of Manakov type are briefly outlined. Many of them have important applications to nonlinear optics. Next we develop a method for calculating the spectral curves for the multi-phase solutions of these equations. We discuss also other multi-component generalization of Manakov system to which our method can be extended.
Comparative analysis of methods for digital system debugging at the design stage
Authors: Ivannikov A D 
Published: May 2020

Abstract
The paper discusses debugging methods, that is, identifying and correcting errors in designss of digital systems specified by the circuit diagram of hardware and the text of software or firmware. Debugging is considered on a fabricated layout of hardware and on a software model of a digital system, as well as on a combination of the layout of individual blocks and a software model of the rest of the system. The methods of organizing debugging modes for all considered methods are analyzed. It is indicated that for digital systems on a chip, the most effective method is to debug design using a software model.