Obiekt

Abstrakt:

Abstract. The use of technical condition assessment methods in the process of vehicle operation, which are the basis for automating the process of recognizing their current condition and safety, is synonymous with modernity. The purpose of this study is to present fragments of numerical procedures used for programmed studies of changes in the state, reliability, and safety of technical objects in use. The presented methodology, supported by elements of achievements in application of statistical methods, is the basis for a comprehensive assessment of supervised facilities, which are so important for innovative strategies for the operation of technical facilities. However, this requires optimization of the set of diagnostic parameters, development, and optimization of condition control tests and optimization of genesis and prognosis methods. The solution to these tasks depends on many factors related to the degree of complexity of the objects, the quality of the operation process and the course of their ageing and wear processes. The analysis and synthesis of the obtained research results should allow for the development of dedicated procedures and inference rules for the tested objects (vehicles) in the field of data acquisition and processing for the observation matrix, which is presented in the form of ready-made algorithms in this work. These are significant procedures constituting the basis for more and more often built control and diagnostic systems introduced to facilities already at the stage of construction and production in modern technical facilities. Such systems are the basis for monitoring state changes, security threats, reliability, and supervision in the rational operation of technical facilities.

Data wydania:

2022-12-31

Identyfikator:

oai:ribes-88.man.poznan.pl:1988 ; doi:10.37055/slw/163231 ; oai:editorialsystem.com:article-163231

ISSN elektroniczny:

2719-7689

ISSN drukowany:

1508-5430

Identyfikator wydawcy:

163231

Strona początkowa:

143

Strona końcowa:

160

Tom:

57

Wydanie:

2

Czasopismo:

SLW

Słowa kluczowe:

logistic ; safety ; algorithms ; modeling ; inference