Development and testing of a risk-based control system for autonomous ships

Johansen, Thomas; Blindheim, Simon; Torben, Tobias Rye; Utne, Ingrid Bouwer; Johansen, Tor Arne; Sørensen, Asgeir J.

doi:10.1016/j.ress.2023.109195

Cited by 18 publications

(3 citation statements)

References 33 publications

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“…Even if the components function properly, system operation can potentially be interrupted. One notable example is the Viking Sky incident, where a blackout was caused by a signal indicating a low level of lubrication oil in the generator sets due to adverse weather conditions (Johansen et al 2023). Future studies could potentially capture the effects of these events to provide more accurate estimations.…”

Section: Resultsmentioning

confidence: 99%

Towards the Development of a Dynamic Reliability Tool for Autonomous Ships: A Bayesian Network Approach

Tsoumpris,

Theotokatos

2023

Proceeding of the 33rd European Safety and Reliability Conference

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Autonomous ships developments have been driven by recent advances in smart and digital technologies. As autonomous systems will be responsible for the MASSs' operation, their reliability is of paramount importance. This study aims to develop a Bayesian network (BN) for monitoring the reliability time variation considering subsystem and component levels. The case study of a cargo vessel for short sea shipping operations is employed and its power plant is investigated. The BN is developed based on the power plant's critical components, whilst defining the interconnections between these components. Pertinent data for the component failure rates are derived from multiple sources, including reliability databases and scientific papers. The derived results demonstrate that the ship main engine is identified as the most critical subsystem. This study serves as a foundation for the development of a dynamic reliability tool for autonomous ships which can incorporate sensor measurements to update component reliability in real-time.

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Section: Resultsmentioning

confidence: 99%

Towards the Development of a Dynamic Reliability Tool for Autonomous Ships: A Bayesian Network Approach

Tsoumpris,

Theotokatos

2023

Proceeding of the 33rd European Safety and Reliability Conference

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“…SRC is an approach used for real-time decision-making (see e.g., [69] , [71] ) where the operational conditions, AMS performance parameters, and predictions are linked in a BBN risk model to calculate the online or future risk of losses. The output of the BBN is processed by the control system to make safe decisions.…”

Section: Discussionmentioning

confidence: 99%

A novel STPA approach to software safety and security in autonomous maritime systems

Gomola,

Bouwer Utne

2024

Heliyon

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“…In [21], Johansen et al used the assessment of a current collision risk combined with current information from the electronic navigation map to design an intelligent maritime autonomous surface ship control system. In this design, a Bayesian belief network was used as a risk model.…”

Section: State Of Knowledgementioning

confidence: 99%

Computational Intelligence Supporting the Safe Control of Autonomous Multi-Objects

Lisowski

2024

Electronics

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The essence of this work, which is an extension of the author’s previous research, is an analysis of computational intelligence algorithms that the support safe control of an autonomous object moving in a large group of other autonomous objects. Linear and dynamic programming methods with neural constraints on the process state, as well as positional and matrix game methods, were used to synthesize computational algorithms for the safe trajectory of one’s own object. The aim of the comparative analysis of intelligent computational methods for the safe trajectory of an object was to show, through their use, the possibility of taking into account the risk of collision resulting from both the degree of cooperation of objects while observing traffic laws and the impact of the environment in the form of visibility and the complexity of the situation. Simulation tests of the algorithms were carried out on the example of a real navigation situation of several dozen objects passing each other at sea.

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Development and testing of a risk-based control system for autonomous ships

Cited by 18 publications

References 33 publications

Towards the Development of a Dynamic Reliability Tool for Autonomous Ships: A Bayesian Network Approach

Towards the Development of a Dynamic Reliability Tool for Autonomous Ships: A Bayesian Network Approach

A novel STPA approach to software safety and security in autonomous maritime systems

Computational Intelligence Supporting the Safe Control of Autonomous Multi-Objects

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