Mathematical and Software for Calculate the Residual Resource of Automated Equipment

Mathematical and software has been created for calculating reliability indicators of the residual resource of automated equipment. From the point of view of reliability, complex automated equipment is formalized as a set of components with a consistent structure. Failure of a component leads to failure of the equipment as a whole. The following indicators were selected: numerical probability of failure-free operation for the residual resource; numerical average residual resource; numerical gamma percent residual resource. The reliability indicators of the residual resource are investigated depending on three factors that are selected when starting the simulation program: a) the number of components (I), b) the technology option (A or B), c) the type of uncertainty. The conducted testing of the created mathematical and software based on simulation modeling allowed us to formulate scientific and practical conclusions.

Authors

Institutions

Publication Details

Journal
System Analysis & Mathematical Modeling
Published
2024-10-17
DOI
https://doi.org/10.17150/2713-1734.2024.6(3).330-338
Citations
2
Primary Topic
Engineering Diagnostics and Reliability
Type
article
Field-Weighted Citation Impact
0.54
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Mathematical and Software for Calculate the Residual Resource of Automated Equipment

Nadezhda Bendik, Yuri Krakovsky, Vyacheslav Belyakov
2 citations
System Analysis & Mathematical Modeling
Engineering Diagnostics and Reliability
0.54
article

Mathematical and Software for Calculate the Residual Resource of Automated Equipment

Nadezhda Bendik, Yuri Krakovsky, Vyacheslav Belyakov
article en
2 citations

Abstract

Mathematical and software has been created for calculating reliability indicators of the residual resource of automated equipment. From the point of view of reliability, complex automated equipment is formalized as a set of components with a consistent structure. Failure of a component leads to failure of the equipment as a whole. The following indicators were selected: numerical probability of failure-free operation for the residual resource; numerical average residual resource; numerical gamma percent residual resource. The reliability indicators of the residual resource are investigated depending on three factors that are selected when starting the simulation program: a) the number of components (I), b) the technology option (A or B), c) the type of uncertainty. The conducted testing of the created mathematical and software based on simulation modeling allowed us to formulate scientific and practical conclusions.

System Analysis & Mathematical ModelingVol. 6(3)
Irkutsk State Agrarian University named after A.A. Ezhevsky (RU), Irkutsk State Transport University (RU)
Openalex Percentile: Top 37%
Engineering Diagnostics and Reliability
0.54
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.