Analysis of Quasi-Periodic Time Series by a Structural-Modal Method for Monitoring and Diagnostics of Complex Technical Systems

2020 ◽  
Vol 26 (10) ◽  
pp. 563-569
Author(s):  
A. Yu. Spasenov ◽  
◽  
K. V. Kucherov ◽  
T. M. Volosatova ◽  
D. M. Zhuk ◽  
...  
Keyword(s):  
Time Series ◽  
Periodic Time Series ◽  
Complex Technical Systems ◽  
Technical Systems ◽  
Monitoring And Diagnostics ◽  
Modal Method

scholarly journals New approaches for assessing the activities of operators of complex technical systems

2019 ◽  
Vol 12 (4) ◽  
pp. 27-49 ◽  
Author(s):  
L.S. Kuravsky ◽  
G.A. Yuryev ◽  
V.I. Zlatomrezhev
Keyword(s):  
Time Series ◽  
Distribution Functions ◽  
Combinatorial Enumeration ◽  
Activity Parameter ◽  
Sample Distribution ◽  
Wavelet Representation ◽  
New Approaches ◽  
Complex Technical Systems ◽  
Technical Systems ◽  
Parameter Ranges

Presented are new approaches for supporting the outcome grading for activities of operators of complex technical systems, which are based on comparisons of current exercises with the activity database patterns in both the wavelet representation metric associated with time series of activity parameters and the likelihood metric of eigenvalue trajectories for these parameters transforms as well as on probabilistic assessments of skill class recognition using sample distribution functions of exercise distances to cluster centers in a scaling space and Bayesian likelihood estimations with the aid of probabilistic profile of staying in activity parameter ranges. These techniques have demonstrated the capabilities of recognizing sets of abnormal exercises and detection of parameters characterizing operator mistakes to reveal the causes of abnormality. The techniques in question overcome limitations of existing methods and provide advantages over manual data analysis since they greatly reduce the combinatorial enumeration of the options considered.

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.

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.

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