Improvement of the Decision-Making System for Fault Detection of Cylinder Liners

Repairing an internal combustion engine is a task that requires a high level of qualification from the employees of an organization, which leads to the need for using various tools to reduce the likelihood of errors. For enterprises with minimal implementation of digital technologies, a point-based evaluation system can be used to assess the feasibility of repairs. However, this method of evaluation is not convenient enough for enterprises with a more advanced digital environment, so a more successful solution for them would be to use software that also allows for an analysis of the economic costs of repairs, which will help reduce the influence of the human factor and increase the efficiency of the defect detection process.

Authors

Institutions

Publication Details

Journal
Journal of Machinery Manufacture and Reliability
Published
2024-11-25
DOI
https://doi.org/10.1134/s1052618824701280
Citations
1
Primary Topic
Engineering Diagnostics and Reliability
Type
article
Field-Weighted Citation Impact
0.27
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Improvement of the Decision-Making System for Fault Detection of Cylinder Liners

P. V. Golinitskii, E. I. Cherkasova, L. A. Grinchenko, Uliana Antonova
1 citations
Journal of Machinery Manufacture and Reliability
Engineering Diagnostics and Reliability
0.27
article

Improvement of the Decision-Making System for Fault Detection of Cylinder Liners

P. V. Golinitskii, E. I. Cherkasova, L. A. Grinchenko, Uliana Antonova
article en
1 citations

Abstract

Repairing an internal combustion engine is a task that requires a high level of qualification from the employees of an organization, which leads to the need for using various tools to reduce the likelihood of errors. For enterprises with minimal implementation of digital technologies, a point-based evaluation system can be used to assess the feasibility of repairs. However, this method of evaluation is not convenient enough for enterprises with a more advanced digital environment, so a more successful solution for them would be to use software that also allows for an analysis of the economic costs of repairs, which will help reduce the influence of the human factor and increase the efficiency of the defect detection process.

Journal of Machinery Manufacture and ReliabilityVol. 53(6)
Moscow State Agroengineering University named after V.P. Goryachkin (RU)
Openalex Percentile: Top 48%
Engineering Diagnostics and Reliability
0.27
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.