Performance Criteria Assessment of Marine Radionavigation Systems Reliability Under Degradation Factors

ABSTRACT The article examines the assessment of the reliability of shipboard radio navigation systems under the influence of degradation factors, with a focus on the impact of both gradual and sudden failures on the continuity of navigation equipment. A classification of failures is presented, environmental and operational factors affecting the efficiency of systems are identified, and the risk of failure is quantified using mathematical modelling. A combined approach to reliability assessment is proposed, which takes into account the probability of failures due to ageing (gradual failures) and external influences (sudden failures), based on an exponential distribution model. An analysis of the mean time between failures (MTBF) of key radio navigation systems was carried out, the probability of failure of at least one element during an operational period of up to 350 days was estimated, and a conceptual model for optimising maintenance was formed. Methodologically, the study is based on the development of a two‐factor model that combines the assessment of gradual and sudden failures of shipboard radio navigation systems. To quantify the intensity of failures, an exponential distribution law is used with the integration of correction factors that take into account the influence of the environment and the human factor. The MTBF is calculated taking into account both types of failures, which ensures the complexity of the assessment. The results are supported by tables, graphs and theoretical generalisations that form a reliable basis for improving the fault tolerance of modern marine navigation systems.

Authors

Institutions

Publication Details

Journal
IET Intelligent Transport Systems
Published
2025-01-01
DOI
https://doi.org/10.1049/itr2.70094
Primary Topic
Maritime Navigation and Safety
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Performance Criteria Assessment of Marine Radionavigation Systems Reliability Under Degradation Factors

Kostyantin Koryakin, Svitlana Onyshсhenko, Aditya Rio Prabowo, Martin Jurkovič et al.
IET Intelligent Transport Systems
Maritime Navigation and Safety
article

Performance Criteria Assessment of Marine Radionavigation Systems Reliability Under Degradation Factors

Kostyantin Koryakin, Svitlana Onyshсhenko, Aditya Rio Prabowo, Martin Jurkovič, Vyacheslav Sapiha, Iryna Savelieva, Oleksiy Mykolayovych Melnyk
article en

Abstract

ABSTRACT The article examines the assessment of the reliability of shipboard radio navigation systems under the influence of degradation factors, with a focus on the impact of both gradual and sudden failures on the continuity of navigation equipment. A classification of failures is presented, environmental and operational factors affecting the efficiency of systems are identified, and the risk of failure is quantified using mathematical modelling. A combined approach to reliability assessment is proposed, which takes into account the probability of failures due to ageing (gradual failures) and external influences (sudden failures), based on an exponential distribution model. An analysis of the mean time between failures (MTBF) of key radio navigation systems was carried out, the probability of failure of at least one element during an operational period of up to 350 days was estimated, and a conceptual model for optimising maintenance was formed. Methodologically, the study is based on the development of a two‐factor model that combines the assessment of gradual and sudden failures of shipboard radio navigation systems. To quantify the intensity of failures, an exponential distribution law is used with the integration of correction factors that take into account the influence of the environment and the human factor. The MTBF is calculated taking into account both types of failures, which ensures the complexity of the assessment. The results are supported by tables, graphs and theoretical generalisations that form a reliable basis for improving the fault tolerance of modern marine navigation systems.

IET Intelligent Transport SystemsVol. 19(1)
Sebelas Maret University (ID), University of Žilina (SK), National University Odesa Law Academy (UA), Odessa National Maritime University (UA)
Openalex Percentile: Top 67%
Maritime Navigation and Safety
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.