Reliability Modeling of the Tethered High-Altitude Platform Using Risk Tree

This paper presents a comprehensive analysis of the reliability of a tethered high-altitude telecommunication platform through the application of risk tree analysis. It explores the potential risks involved in utilizing this platform to provide telecommunication coverage in a specific area. The study employs a well-known methodology to construct a risk tree, allowing for the calculation of key characteristics, including the distribution of occurrence times for significant risk events, along with their mean and variance, and the potential damages associated with them. Additionally, this technique identifies the most critical risk pathways and assesses the sensitivity of risk characteristics to the shape of initial data, thereby offering valuable insights for effective risk management and mitigation.

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Published
2024-10-01
DOI
https://doi.org/10.1109/icct62929.2024.10874899
Citations
1
Primary Topic
Robotic Path Planning Algorithms
Type
article
Field-Weighted Citation Impact
0.25

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article

Reliability Modeling of the Tethered High-Altitude Platform Using Risk Tree

Nika Ivanova, Vladimir Vishnevsky
1 citations
Robotic Path Planning Algorithms
0.25
article

Reliability Modeling of the Tethered High-Altitude Platform Using Risk Tree

Nika Ivanova, Vladimir Vishnevsky
article en
1 citations

Abstract

This paper presents a comprehensive analysis of the reliability of a tethered high-altitude telecommunication platform through the application of risk tree analysis. It explores the potential risks involved in utilizing this platform to provide telecommunication coverage in a specific area. The study employs a well-known methodology to construct a risk tree, allowing for the calculation of key characteristics, including the distribution of occurrence times for significant risk events, along with their mean and variance, and the potential damages associated with them. Additionally, this technique identifies the most critical risk pathways and assesses the sensitivity of risk characteristics to the shape of initial data, thereby offering valuable insights for effective risk management and mitigation.

V. A. Trapeznikov Institute of Control Sciences (RU)
Russian Science Foundation
Climate action
Openalex Percentile: Top 42%
Robotic Path Planning Algorithms
0.25
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Reliability Modeling of the Tethered High-Altitude Platform Using Risk Tree — Nika Ivanova, Vladimir Vishnevsky · (2024) | TGRS Research Map | TGRS