scholarly journals Approach to the functional state control of the complex technical systems during the operating interval of their life cycle

2010 ◽  
Vol 43 (2) ◽  
Author(s):  
В.І. Чепіженко
Keyword(s):  
Life Cycle ◽  
Functional State ◽  
State Control ◽  
Complex Technical Systems ◽  
Technical Systems

scholarly journals DEVELOPMENT OF BASIC STRUCTURE FOR QUALITY MANAGEMENT SYSTEM OF TREND POTENTIAL OF COMPLEX TECHNICAL SYSTEM OF UNMANNED AERIAL VEHICLES

2019 ◽  
Vol 1 (7) ◽  
pp. 46-52 ◽  
Author(s):  
V. M. Balashov ◽  
S. A. Nazarevich ◽  
A. V. Urentsev
Keyword(s):  
Life Cycle ◽  
Unmanned Aerial Vehicles ◽  
Quality Management System ◽  
Planning Horizon ◽  
Basic Structure ◽  
Aerial Vehicles ◽  
Complex Technical System ◽  
Complex Technical Systems ◽  
Technical Systems

In conditions when the volume of government orders for defense products may significantly decline, enterprises of the radioelectronic industry are faced with the need to move to civilian product markets, which will stabilize the order portfolio and reduce macroeconomic and technological risks. The article presents the main approaches to the analysis of the trend potential of complex technical systems on the example of unmanned aerial vehicles. Methods for assessing the quality of complex technical systems at different stages of the development of the potential of complex technical systems in the structure of the life cycle are proposed. A hypothetical fragment of a chronological analysis of the potential state of complex technical systems with a planning horizon of five to ten years is presented. The proposed approaches and mathematical models make it possible to predict the potential and to optimize the consumer characteristics of complex technical systems, based on the requirements of customers, the development of their needs, as well as on the implementation of advanced standardization.

scholarly journals TO THE ASSESSMENT OF TECHNICAL LEVEL COMPLEX TECHNICAL SYSTEMS TAKING INTO ACCOUNT THE WHOLE LIFE CYCLE

2016 ◽  
Vol 6 (2) ◽  
pp. 173-192
Author(s):  
E.M. Voronov ◽  
◽  
V.V. Tsherbinin ◽  
S.S. Semenov ◽  
◽  
...  
Keyword(s):  
Life Cycle ◽  
Technical Level ◽  
Complex Technical Systems ◽  
Technical Systems ◽  
Whole Life Cycle

Techno-economic analysis of activities to improve the reliability of complex systems

2017 ◽  
Vol 13 (3) ◽  
pp. 39-55
Author(s):  
Igor G Panin ◽  
Elena K. Volkova ◽  
Konstantin V Shchurin
Keyword(s):  
Mathematical Model ◽  
Life Cycle ◽  
Economic Analysis ◽  
Complex Systems ◽  
Optimization Model ◽  
Product Life Cycle ◽  
Product Life ◽  
Complex Technical Systems ◽  
Technical Systems ◽  
The Individual

Developed a comprehensive methodology for the techno-economic analysis of the reliability of complex technical systems as a set of basic components reliability - reliability, durability, serviceability and persistence. Highlights the individual calculation factors, on the basis of which it is possible to create an adequate integrated mathematical model which takes into account the stages of creation, implementation and consumption of reliability in the context of integrating optimization model based on maintaining a designated level of performance reliability at all stages of the product life cycle.

scholarly journals Supporting the life cycle of complex technical systems on the basis of intelligent technologies and predictive analytics

2019 ◽  
pp. 314-323
Author(s):  
V N Blinov ◽  
S S Valeev ◽  
N V Kondratyeva ◽  
R R Karimov ◽  
A S Kovtunenko ◽  
...  
Keyword(s):  
Life Cycle ◽  
Predictive Model ◽  
Predictive Analytics ◽  
Propulsion System ◽  
Information Support ◽  
Neural Network System ◽  
Design Production ◽  
Complex Technical Systems ◽  
Technical Systems ◽  
Production And Operation

The application of predictive analytics in the design, production and operation to achieve the efficiency of the life cycle of complex technical systems is discussed. A predictive model of information support for the life cycle of a microsatellite propulsion system based on a neural network system is proposed. The predictive model can solve the problem of estimating fuel consumption, diagnosing and detecting possible failures of a small propulsion system.

scholarly journals AUTOMATION OF FORECASTING DEVELOPMENT PROCESSES OF COMPLEX TECHNICAL SYSTEMS

2019 ◽  
Vol 2019 (1) ◽  
pp. 29-33
Author(s):  
Станислав Назаревич ◽  
Stanislav Nazarevich
Keyword(s):  
Life Cycle ◽  
Graphical Representation ◽  
Time Interval ◽  
Short Time Interval ◽  
Technical Potential ◽  
Development Processes ◽  
Complex Technical System ◽  
Complex Technical Systems ◽  
Technical Systems ◽  
Short Time

The article presents a summary of the method for predicting the technical potential of a complex technical system. The method consists in considering the life cycle curve in the form of a group of indicators reflecting not only the technical side of the functional characteristics of the product produced or the volume sold in a short time interval, but also indicators of competitiveness and equipment of the enterprise implementing this type of products. A model for assessing industrial competitiveness, including the interpretation of interval characteristics, is presented, and a graphical representation of the life cycle curve in an enlarged composition is also presented.

Knowledge representation in graph-models of complex technical systems

2020 ◽  
pp. 12-16
Author(s):  
Evgenia R. Muntyan
Keyword(s):  
Analytical Study ◽  
Level Structure ◽  
Graph Models ◽  
Level Data ◽  
Knowledge Formation ◽  
Different Types ◽  
Level Information ◽  
Complex Technical Systems ◽  
Technical Systems ◽  
Structure Of Knowledge

The article analyzes a number of methods of knowledge formation using various graph models, including oriented, undirected graphs with the same type of edges and graphs with multiple and different types of edges. This article shows the possibilities of using graphs to represent a three-level structure of knowledge in the field of complex technical systems modeling. In such a model, at the first level, data is formed in the form of unrelated graph vertices, at the second level – information presented by a related undirected graph, and at the third level – knowledge in the form of a set of graph paths. The proposed interpretation of the structure of knowledge allows to create new opportunities for analytical study of knowledge and information, their properties and relationships.

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