A resilience metric and its calculation for ship automation systems

Song, Zhen; Ren, Guannan; Mirabella, Lucia; Srivastava, Sanjeev

doi:10.1109/rweek.2016.7573332

Cited by 10 publications

(2 citation statements)

References 8 publications

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“…Resilience theory plays a vital role in designing engineered systems comprised of Cyber-Physical Systems (CPS) with components, sub-systems, or system interdependencies intended to make the entire system robust. Resilience is a system-level attribute closely associated with survivability, reliability, robustness, elasticity, safety, and nimbleness (Uday, 2015;Song, 2016). Although many scholars have conducted extensive studies on resilience design (Youn, 2011;Filippini, 2012;Jackson, 2012;Bhatia, 2015;and Bahun, 2016), only a few papers applied resilience to maritime systems.…”

Section: Figure 1 Literature Research Planmentioning

confidence: 99%

Percolation‐Based Metrics to Quantify the Resilience of Communication Systems

Benipayo

2019

INCOSE International Symp

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Resilience theory plays a critical part in the practical design of modern engineered resilient systems that comprise of cyber-physical systems and components having interdependencies intended to make the whole system robust. In this paper, the percolation-based metric is utilized to quantify the communication systems' resilience. Because there is no consistent and reliable way to measure resilience, the percolation-based metric framework is developed to model the component or system failure by removing fractions of the nodes or links, causing the network to transition from functional to non-functional. The efficacy of the percolation-based metric model is demonstrated by using the power grid and maritime platform systems (legacy and future design versions) as case studies. The results from the analysis of the maritime communication and power grid systems are presented. The results indicate that percolation-based metric may be a useful approach for system engineers and designers to gain improved insight into the quantification of communication system resilience. resourcefulness 3 , and redundancy 4 (Bruneau, 2003). Since there is no consistent approach to measuring system resilience, in this paper, the focus will be on system robustness based on previous work by Cohen (2000) and Sole (2007).Creating a resilient communication system requires percolation-based metrics that can quantify resilience (robustness) to allow designers to compare various system architectures and make informed decisions. In this paper, the maritime platform communication systems (legacy 5 and future 6 versions) and power grid (Italian and Western) systems were used as case studies to show the utility of the percolation-based metrics. These platforms are usually required to withstand disruptive events, rapidly recover, and continue to function in their operational environment. Georger describes the maritime platform as systems that are "expected to be trusted and effective in a wide range of operational environment with the ability to respond to new requirements through new tactics, appropriate reconfiguration, and timely replacement" (Georger, 2014). Since there are no published resilience metrics for the maritime platform, the published datasets for the Italian power grid (ENTSOE, 2017;Sole et al., 2007 Table 1) and the Western power grid (Watts, 1998) were used for model validation and use as a baseline for comparison with the maritime platform communication system's resilience . In this paper, only the Italian power grid is used for comparison because it has the published robustness data.Percolation theory is applied in this research to understand the impact of a disruptive event on the communication system's resilience (robustness). Percolation is a statistical mechanic's model that demonstrates a critical phenomenon called phase transition, meaning that there is a fundamental parameter in the model at which the behavior of the system drastically changes from nonfunctional to functional designated as percolation threshold. The phase tra...

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Section: Figure 1 Literature Research Planmentioning

confidence: 99%

Percolation‐Based Metrics to Quantify the Resilience of Communication Systems

Benipayo

2019

INCOSE International Symp

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“…The automation of ship control has revolutionized the shipping industry, improving efficiency, reducing costs, and enhancing safety. Automated ship control includes functions such as steering, propulsion, and monitoring of critical equipment, and has made it possible to remotely control or monitor ships from shore, reducing the number of crew members required on board [1]. One of the critical factors in ship design, performance, and manoeuvring is the hydrodynamic coefficient [2].…”

Section: Introductionmentioning

confidence: 99%

Robust optimal control of a nonlinear surface vessel model with parametric uncertainties

Jambak

Bayezit

2023

Brodogradnja

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This paper presents a fast alternative optimization method for developing a reliable optimal controller that can handle system model parameter uncertainties. The source of uncertainty in this study is identified as hydrodynamic coefficients, which are prone to errors due to the challenges involved in obtaining accurate values. The proposed optimization method utilizes a complex nonlinear ship model provided by Maneuver Modelling Group (MMG) as the reference for the ship motion model. The optimization process is divided into two stages: a blind search followed by bisection optimization, to obtain a robust optimal controller. To demonstrate the effectiveness of the proposed approach, system response analysis and practical tests were performed on Step, M-Turn, and Doublet maneuvers. The results show that the controller parameters obtained from the proposed optimization method are capable of achieving high success rates in controlling a system with uncertain parameters.

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A distributed energy management strategy for resilient shipboard power system

Lai

2018

Applied Energy

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A resilience metric and its calculation for ship automation systems

Cited by 10 publications

References 8 publications

Percolation‐Based Metrics to Quantify the Resilience of Communication Systems

Percolation‐Based Metrics to Quantify the Resilience of Communication Systems

Robust optimal control of a nonlinear surface vessel model with parametric uncertainties

A distributed energy management strategy for resilient shipboard power system

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