Developing an algorithm for planning the periodicity of controls for a random process model

The problem of forecasting the beginning of the repair effects of equipment under the action of degradation processes was considered. The possibility of using the theory of emissions that form a non-stationary Poisson flow to establish the inspection interval was studied. It was found that when using the theory of emissions while assigning inter-control periods, it is necessary to compare paired correlation coefficients, one of which is r 1,δ ≫0.9 and tends to unity. • The problem of forecasting the start of repair of metallurgical equipment is considered. • Special attention is paid to degradation processes. • The possibility of using emission theory to establish the inspection interval has been studied.

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Publication Details

Journal
Results in Engineering
Published
2024-09-21
DOI
https://doi.org/10.1016/j.rineng.2024.102964
Primary Topic
Statistical and Computational Modeling
Type
article
Field-Weighted Citation Impact
0.00
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article

Developing an algorithm for planning the periodicity of controls for a random process model

Oleksii Hrechanyі
Results in Engineering
Statistical and Computational Modeling
article

Developing an algorithm for planning the periodicity of controls for a random process model

Oleksii Hrechanyі
article en

Abstract

The problem of forecasting the beginning of the repair effects of equipment under the action of degradation processes was considered. The possibility of using the theory of emissions that form a non-stationary Poisson flow to establish the inspection interval was studied. It was found that when using the theory of emissions while assigning inter-control periods, it is necessary to compare paired correlation coefficients, one of which is r 1,δ ≫0.9 and tends to unity. • The problem of forecasting the start of repair of metallurgical equipment is considered. • Special attention is paid to degradation processes. • The possibility of using emission theory to establish the inspection interval has been studied.

Results in EngineeringVol. 24
National University Zaporizhzhia Polytechnic (UA)
Openalex Percentile: Top 86%
Statistical and Computational Modeling
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