scholarly journals PRINCIPLES OF FORMAL CLASSIFICATION THEORY OF TECHNICAL SYSTEMS: CASE OF ENERGY FACILITIES

2021 ◽  
Vol 2021 (2) ◽  
pp. 7-19
Author(s):  
Natalia Fedorova
Keyword(s):  
Formal Theory ◽  
Technical System ◽  
Classification Theory ◽  
Legal Environment ◽  
Composition And Structure ◽  
Continuous Band ◽  
Formal Classification ◽  
Complex Technical Systems ◽  
Technical Systems ◽  
The Relationship

The article describes the power generating and other energy facilities as complex technical systems interacting with the material, financial, informational and legal environment. To ensure functioning and development of a technical system it is important to determine its place among other technical systems: technical systems and their elements must be classified. There have been presented the principles of formal theory of technical system classification. The classification objects have been given a definition. The concepts of classification, classification attribute and meaning of the classification attribute are formalized. The goal and tasks of the classification are formulated. The stages of forming and applying classifiers include developing the composition and structure of classifier kernel, marking interpretation elements and selecting an element corresponding to the user's request. The alphabet, inference rules, axioms and main theorems of the classification formal theory are presented. It is proved that a complete consistent independent classification theory is decidable. The taxonomy of the classifier types is considered: elementary (incomplete and complete), basic (discrete hierarchical, discrete matrix, continuous band), complex (combined and limiting). Examples of using classifiers of various types in the description of energy objects are given. The algorithms, labeling and selection problems are considered. The use of a grounded and structured classification theory allows better understanding and description of the relationship between technical and related systems and l increases the efficiency of functioning and development of technical systems.

scholarly journals COMPLEX CLASSIFIERS OF FORMAL CLASSIFICATION THEORY OF TECHNICAL SYSTEMS: HIERARCHO-MATRIX, ZONE, CYCLIC

2021 ◽  
Vol 2021 (4) ◽  
pp. 7-20
Author(s):  
Natalia Fedorova
Keyword(s):  
Formal Theory ◽  
Classification Theory ◽  
Target Classification ◽  
Wide Range ◽  
Formal Classification ◽  
Complex Technical Systems ◽  
Technical Systems ◽  
Hierarchical Matrix ◽  
Physical Quantities ◽  
Similar Elements

The article highlights the different aspects of complex technical systems that can be ordered and classified in accordance with the totality, structure and values of the attributes characterizing these systems by a unified approach to various types of classifications. The most complex classifiers studied in this work are hierarchical-matrix, cyclic and zonal classifiers. Zones are the areas identified in the space of classification attributes that characterized by a similar value of an additional target classification attribute. The dimension of the zonal classification is equal to the number of descriptive classification attributes, the zonal dimension is equal to the number of zones. Adding the zones is carried out according to the target classification criterion, multiplying the zones consists in introducing the new descriptive classification attributes. Cyclicity is repetition of the similar elements that occurs in the space of physical quantities or other parameters. The concept of cycle stages is defined for all cycles, which is a specific (target) classification attribute. The internal dimension of the cycle is equal to the number of stages, the external dimension is equal to the number of acts of the cycle, the descriptive dimension is equal to the number of descriptive classification attributes. Addition of cycles can be carried out both by stages and by descriptive features and consists in increasing the number of values of classification attribute. Multiplication of cycles consists in the introduction of new descriptive classification attributes. Zonal and cyclic classifiers are widely used in the practice of describing and planning technical energy systems. A wide range of classifiers ordered from the standpoint of a unified formal theory of classification will take into account the features of specific technical systems, the conditions for the objects functioning, the context of the interpretation area. As a re-sult, the degree of adequacy of classifiers to the diversity of the interpretation area objects and the representativeness of models based on classifiers will increase

DIGITAL DESIGN OPTIMIZATION OF A COMPLEX TECHNOLOGICAL SYSTEM

2021 ◽  
Vol 3 ◽  
pp. 85-90
Author(s):  
A.R. ABLAEV ◽  
E.V. KHROMOV ◽  
R.R. ABLAEV ◽  
A.P. POLYAKOV
Keyword(s):  
Design Optimization ◽  
Level Structure ◽  
Phenomenological Approach ◽  
Digital Design ◽  
Technical System ◽  
Software Support ◽  
Complex Technical System ◽  
Complex Optimization ◽  
Complex Technical Systems ◽  
Technical Systems

The article investigates the issue of optimization of a complex technical system at the stage of its design using a heuristic–phenomenological approach. The analysis of the principles of complex optimization of complex technical systems is carried out. A four–level structure for the synthesis of methodological, informational and software support for complex optimization of complex technical systems is proposed, which will allow controlling the programmable parameters of complex technical systems at each stage of their design.

scholarly journals The Synthesis of a Critical Infrastructure Object Model for Safe Operation of a Technical System Under the Conditions of Destructive Information Impact

2020 ◽  
pp. 48-56
Author(s):  
Aleksey Kubarev ◽  
◽  
Aleksey Lapsar’ ◽  
Alexander Asyutikov ◽  
◽  
...  
Keyword(s):  
Diffusion Processes ◽  
Information Infrastructure ◽  
Technical System ◽  
Evolutionary Models ◽  
Critical Information ◽  
Technical Requirements ◽  
Complex Technical System ◽  
Complex Technical Systems ◽  
Technical Systems ◽  
The Impact

The purpose of the article: improving the security and stability of the functioning of complex technical systems managed by critical information infrastructure objects under the conditions of a destructive information impact, using parameterized evolutionary models. Methods: synthesis of parametrized evolutionary models of significant objects of critical information infrastructure based on the Markov theory of estimation of multidimensional diffusion processes. The result: within the framework of an integrated approach to ensuring the security of complex technical systems, a parametrized evolutionary model of an object of a critical information infrastructure operating under conditions of destructive information impact has been synthesized. An approach to the development of recommendations for managing a complex technical system by means of an operational assessment of the main characteristics of the functioning of a critical information infrastructure object is proposed. A sequence has been developed for developing solutions for the operation of a complex technical system, based on an assessment of the impact level and the results of an operational calculation of the main characteristics of the functioning of a critical information infrastructure object. The results obtained make it possible to reasonably formulate technical requirements for the created or modernized means of ensuring the security of significant objects of critical information infrastructure that manage complex technical systems.

scholarly journals BASIC CLASSIFIERS OF FORMAL CLASSIFICATION THEORY OF TECHNICAL SYSTEMS: HIERARCHIES, VECTORS AND MATRICES, BANDS

2021 ◽  
Vol 2021 (3) ◽  
pp. 28-40
Author(s):  
Natalia Fedorova
Keyword(s):  
Hierarchical Classification ◽  
Classification Theory ◽  
Unified Approach ◽  
Characteristic Parameters ◽  
New Classification ◽  
Discrete Band ◽  
Formal Classification ◽  
The Matrix ◽  
Technical Systems ◽  
Structure Dimension

The article considers the importance of a technical system among other technical systems in order to ensure its functioning and development, to classify objects, subjects, processes of the technical and related systems. Previously, the author presented the basics of the formal classification theory. This article describes the basic classifiers and operations with them. Three types of basic classifications are identified: discrete hierarchical, discrete matrix and continuous band classifications. For them the concept, structure, dimension, basic operations (addition, multiplication, equality) are defined. In the hierarchy, the classification attributes can be sorted by subordination, when the classification attributes of the lower levels of the hierarchy detail the features of higher levels. The dimension of the hierarchical classification is the number of levels of classification features. Matrix classifications (including vector and super-matrix) are used when the classification attributes are equal and their values are discrete. Band classifications are similar in structure to matrix classifications, but the value of the classification attribute is the interval of numbers, for which the lower and upper boundaries are determined. The dimension of the matrix and band classifications is equal to the number of non-subordinate classification attributes. For all classifications, multiplication is equivalent to the introduction of new classification attributes, addition is the introduction of new values of already existing classification attributes. A unified approach to various types of classifications makes it possible to plan the structure of classifications of specific technical systems, taking into account the properties of characteristic parameters

scholarly journals Hybridization of fuzzy time series and fuzzy ontologies in the diagnosis of complex technical systems

2019 ◽  
pp. 252-259
Author(s):  
N G Yarushkina ◽  
V S Moshkin ◽  
I A Andreev ◽  
G I Ishmuratova
Keyword(s):  
Time Series ◽  
The State ◽  
Technical System ◽  
Fuzzy Time Series ◽  
Formal Description ◽  
Fuzzy Ontology ◽  
Complex Technical System ◽  
Complex Technical Systems ◽  
Technical Systems ◽  
Ontological Model

The article provides a formal description of fuzzy ontologies and features of the representation of elements of fuzzy axioms in FuzzyOWL notation. An ontological model for assessing the state of helicopter units has been developed. According to the proposed approach, the summarizing of the state of a complex technical system is carried out by means of an inference based on a fuzzy ontology. As part of this work, experiments were conducted to search for anomalous situations and search for possible faulty helicopter units using the developed approach to the integration of fuzzy time series and fuzzy ontology. The proposed approach of hybridization of fuzzy time series and fuzzy ontologies made it possible to reliably recognize anomalous situations with a certain degree of truth, and to find possible faulty aggregates corresponding to each anomalous situation.

scholarly journals System risk assessment based on the probabilistic model “exposure-susceptibility” at the enterprises of storage and processing of vegetable agricultural products

2021 ◽  
Vol 937 (3) ◽  
pp. 032073
Author(s):  
A Cheremisin ◽  
Y Esipov ◽  
S Traypichkin ◽  
A Bukreeva
Keyword(s):  
Risk Assessment ◽  
Initial Data ◽  
Probabilistic Model ◽  
Technical System ◽  
Agricultural Products ◽  
System Risk ◽  
Complex Technical Systems ◽  
Technical Systems ◽  
Security Costs ◽  
Selection Of

Abstract At present, elements of probabilistic safety and risk assessment have been introduced into the design and analysis of complex technical systems, one of the main disadvantages of which is the difficulty due to the selection of initial data in the form of probabilities of initiating events. As a consequence, the use of known methodologies for quantifying risk can lead to either underestimation of threats or unreasonably high security costs. On the example of an enterprise for the storage and processing of vegetable agricultural products, an approach was considered for assessing the risk of a technical system based on the probabilistic model “exposure-susceptibility”.

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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