Creative system design methodologies: the case of complex technical systems

Technovation ◽  
2005 ◽  
Vol 25 (8) ◽  
pp. 831-840 ◽  
Author(s):  
Elias Carayannis ◽  
John Coleman
Keyword(s):  
System Design ◽  
Design Methodologies ◽  
Complex Technical Systems ◽  
Technical Systems

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.

NETWORK MODELS AS A SOLUTION FOR COMPLEX TECHNICAL PRODUCT`S DIAGNOSING PROBLEMS SOLVING

2019 ◽  
pp. 38-42
Author(s):  
S. Yu. Strakhov ◽  
A. A. Karasev
Keyword(s):  
Complex System ◽  
System Analysis ◽  
Network Models ◽  
Functional Testing ◽  
Formal Models ◽  
Mathematical Apparatus ◽  
Complex Technical Systems ◽  
Technical Systems ◽  
Formalized Description ◽  
Diagnostic Software

Authors explore issue of applicability of the methodology of building diagnostic software using network formal models in the functional testing of electronic equipment as part of complex technical systems. Using methods of system analysis allows to perform a decomposition of interdependent subsystems and to reveal basic acts of interaction between the control‑verification equipment and the object of diagnosis. Mathematical apparatus of Petri nets should be employed for the formalized description of such acts and determined the cause‑and‑effect relations in the diagnosed complex system`s processes. Network models properties studying (such as safety and accomplishment of the final positions) allows us to move to the test object`s algorithm`s developing. The article presents an approach of a formalized description for basic acts of interaction between the diagnosis system and the object.

INTEGRATED ASSESSMENT OF STABILITY FUNCTIONING COMPLEX TECHNICAL SYSTEMS IN THE TECHNO AND INFO SPHERE

2018 ◽  
pp. 89-94
Author(s):  
V. A. Minaev ◽  
I. D. Korolev ◽  
V. V. Mukhortov
Keyword(s):  
Integrated Assessment ◽  
Noise Immunity ◽  
Maximum Intensity ◽  
Robotic Systems ◽  
Formal Definition ◽  
Protection Systems ◽  
Computer Attacks ◽  
Complex Technical Systems ◽  
Impact Protection ◽  
Technical Systems

The article deals with the issues of integrated assessment of complex technical systems stability functioning in techno sphere and info sphere. It is shown that the concept of cyber stability, including its components such as cyber reliability, noise immunity and cyber survivability are insufficiently investigated and defined. The formal definition is given and the scale with various gradation of cyber survivability is entered. On the example of robotic systems in form of drones two variants of mathematical models of cyber survivability estimation are considered. The first variant is related to the description of drones functioning in the conditions of computer attacks without impact protection systems. The second variant reflects the functioning of drones under the conditions of impacts in the presence of adaptive combined cybernetic protection system. In both variants, two strategies are considered - with minimal and maximum intensity of effects on the drone. It is concluded that proposed in the paper approach enables to evaluate the integrated stability of complex technical systems in the techno sphere and info sphere at the same time.

К ВОПРОСУ ФОРМИРОВАНИЯ ДЕЛОВОГО КЛИМАТА В УСЛОВИЯХ ЦИФРОВИЗАЦИИ ЭКОНОМИКИ

2020 ◽  
Vol 96 (3s) ◽  
pp. 97-100
Author(s):  
С.И. Боков ◽  
В.Л. Гладышевский ◽  
У.А. Пестун
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Russian Federation ◽  
The Russian Federation ◽  
Complex Technical Systems ◽  
Technical Systems ◽  
State Programs

В работе изложены актуальные вопросы, связанные с планируемыми Министерством экономического развития Российской Федерации изменениями в стратегии экономического роста и реформой государственных программ, напрямую затрагивающих производство сложных технических систем. Также рассмотрены контроллинговые задачи научно-исследовательских структур, требующие административной основы, наравне с ранее принятыми решениями по цифровизации управления и его элементов. The paper outlines current issues related to the changes planned by the Ministry of Economic Development of the Russian Federation in the strategy of economic growth, as well as the reform of state programs that directly affect the production of complex technical systems. Besides, it proposes controlling tasks of research structures that require an administrative basis, along with previously adopted decisions on the digitalization of management and its elements.

Multicriterial Optimization of Technical Systems Considering Multiple Load and Availability Scenarios

2015 ◽  
Vol 807 ◽  
pp. 247-256 ◽  
Author(s):  
Lena C. Altherr ◽  
Thorsten Ederer ◽  
Philipp Pöttgen ◽  
Ulf Lorenz ◽  
Peter F. Pelz
Keyword(s):  
System Design ◽  
Cost Effective ◽  
Optimization Methods ◽  
Technical System ◽  
Multicriterial Optimization ◽  
Fluid Systems ◽  
Rule Number ◽  
Technical Systems ◽  
Multiple Load ◽  
Modern Optimization

Cheap does not imply cost-effective -- this is rule number one of zeitgeisty system design. The initial investment accounts only for a small portion of the lifecycle costs of a technical system. In fluid systems, about ninety percent of the total costs are caused by other factors like power consumption and maintenance. With modern optimization methods, it is already possible to plan an optimal technical system considering multiple objectives. In this paper, we focus on an often neglected contribution to the lifecycle costs: downtime costs due to spontaneous failures. Consequently, availability becomes an issue.

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