An Overview of Thrusters Faults in Dynamic Positioning Systems*

Fault diagnosis for dynamic positioning vessels is vital for maritime safety and operational efficiency. The reliability of the dynamic positioning system is crucial for the safe and precise operations for which this system is used. However, over time, these systems degrade, compromising accuracy and performance. This issue has been investigated by several authors over the past years. After reviewing the works published in the literature, this article aims to provide an overview of fault detection and fault-tolerant control for dynamic positioning systems, with a focus on thrusters faults, and to explore potential future research directions.

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Publication Details

Published
2025-06-24
DOI
https://doi.org/10.23919/ecc65951.2025.11186968
Primary Topic
Real-Time Systems Scheduling
Type
article
Field-Weighted Citation Impact
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article

An Overview of Thrusters Faults in Dynamic Positioning Systems*

Hassan Noura, Ahmad Saab, Christophe Roman, El Mostafa El Adel et al.
Real-Time Systems Scheduling
article

An Overview of Thrusters Faults in Dynamic Positioning Systems*

Hassan Noura, Ahmad Saab, Christophe Roman, El Mostafa El Adel, Mustapha Ouladsine
article en

Abstract

Fault diagnosis for dynamic positioning vessels is vital for maritime safety and operational efficiency. The reliability of the dynamic positioning system is crucial for the safe and precise operations for which this system is used. However, over time, these systems degrade, compromising accuracy and performance. This issue has been investigated by several authors over the past years. After reviewing the works published in the literature, this article aims to provide an overview of fault detection and fault-tolerant control for dynamic positioning systems, with a focus on thrusters faults, and to explore potential future research directions.

Centre National de la Recherche Scientifique (FR), Aix-Marseille Université (FR), Laboratoire d’Informatique et Systèmes (FR)
Openalex Percentile: Top 68%
Real-Time Systems Scheduling
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