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REVIEW PAPER
Modelling in the identification of threats to the functioning of technical system
 
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1
Military Institute of Armoured and Automotive Technology, Poland
 
2
Warsaw University of Life Sciences, Poland
 
3
EAFIT University of Medellin, Colombia
 
 
A - Research concept and design; B - Collection and/or assembly of data; C - Data analysis and interpretation; D - Writing the article; E - Critical revision of the article; F - Final approval of article
 
 
Submission date: 2023-01-31
 
 
Final revision date: 2023-06-21
 
 
Acceptance date: 2023-09-28
 
 
Publication date: 2023-09-30
 
 
Corresponding author
Bogdan Żółtowski   

Pion Rozwoju, WITPIS Sulejówek, Okuniewska 1, 05-070, Sulejówek, Polska
 
 
SLW 2023;58(1):5-24
 
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ABSTRACT
Summary. Modern technical systems used in practice (machines, vehicles, military technology) are subject to automatic degradation of the technical condition, which forces modelling to identify changes in this state. The available modelling methods in identifying changes in the technical condition of such systems make it possible to supervise the developing threats to the correctness of their functioning. This paper presents the available methods and tools for modelling and identifying evolving threats to complex technical systems, in terms of description and indications of the premises for their use. Modern technical systems (machines and military technology) are characterized by such features as functionality, reliability, readiness, security, mobility, and operational vulnerability. Identification of threats to the functioning of technical systems through modelling therefore concerns the construction of models of the test object, the reconstruction of the state of the object and its prediction. The existing methods of identification can be divided into methods of identifying static and dynamic properties. The current availability of computers and simulation studies of the dynamics of objects allows attempts to identify the dynamic properties of objects throughout its life cycle, using various models. Knowledge of the dynamic state and structure of the system makes it possible to describe its behaviour and to build prognostic models of the system's behaviour as a function of dynamic evolution time, based on the growth model of technical condition symptoms.
eISSN:2719-7689
ISSN:1508-5430
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