Towards fault-tolerant decision support systems for ship operator guidance

Nielsen, Ulrik Dam; Lajic, Zoran; Jensen, Jørgen Juncher

doi:10.1016/j.ress.2012.04.009

Cited by 15 publications

(5 citation statements)

References 23 publications

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“…The error between the measured spectrum and the theoretically calculated one is ε i,j , and it should be realised that the error in principle includes errors from sensors, transfer functions, and the model itself. Errors from sensors cannot (necessarily) be excluded, which is why fault detection techniques are relevant to consider in case of (real-time) on-board systems (Nielsen et al, 2012). Errors in the transfer functions and their influence on results can be investigated through sensitivity studies.…”

Section: The Wave Buoy Analogy -Bayesian Modellingmentioning

confidence: 99%

Estimation of sea state parameters by the wave buoy analogy with comparisons to third generation spectral wave models

Nielsen

Dietz

2020

Ocean Engineering

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Section: The Wave Buoy Analogy -Bayesian Modellingmentioning

confidence: 99%

Estimation of sea state parameters by the wave buoy analogy with comparisons to third generation spectral wave models

Nielsen

Dietz

2020

Ocean Engineering

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“…where all relevant combinations of motion measurements are considered and used for wave estimation. However, a general discussion about response selection for shipboard sea state estimation is beyond the scope of the present work and, thus, not addressed any further, but another useful study in this context has been given by Nielsen et al [21].…”

Section: Wave Heading Estimation (1) and Making The Solution Unique (2)mentioning

confidence: 99%

“…estimate, or to the corresponding integrated wave parameters. Means to accomplish this has (conceptually) been discussed in the literature [e.g 21,26,27]. and a deeper discussion of the means is beyond the scope of the present article.…”

mentioning

confidence: 99%

A brute-force spectral approach for wave estimation using measured vessel motions

Nielsen

Brodtkorb²,

Sørensen³

2018

Marine Structures

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The article introduces a spectral procedure for sea state estimation based on measurements of motion responses of a ship in a short-crested seaway. The procedure relies fundamentally on the wave buoy analogy, but the wave spectrum estimate is obtained in a direct-brute-force-approach, and the procedure is simple in its mathematical formulation. The actual formulation is extending another recent work by including vessel advance speed and short-crested seas. Due to its simplicity, the procedure is computationally efficient, providing wave spectrum estimates in the order of a few seconds, and the estimation procedure will therefore be appealing to applications related to realtime, onboard control and decision support systems for safe and efficient marine operations. The procedure's performance is evaluated by use of numerical simulation of motion measurements, and it is shown that accurate wave spectrum estimates can be obtained for all wave directions in short-crested waves, taking the wave system to be composed by both wind generated sea and swell. Furthermore, the procedure is tested using full-scale motion data obtained from sea trials. Good wave estimations are achieved as compared to corresponding results from a free-floating (classical) wave buoy.

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“…To support these approaches, different data collection practices employed in the shipping industry for acquiring data on-board ships (Armstrong & Banks, 2015;Aldous, et al, 2015), in specific: (a) Noon Reports (NR), where the crew is responsible of recording one data entry every 24 hours, and (b) Automatic Data Logging Monitoring (ADLM) systems, which can record a number of parameters at any specified sampling rate that usually results in a vast amount of high-quality data (Nielsen, et al, 2012;Lajic, et al, 2009;Perera & Mo, 2016). By employing the NR method, the data parameters recorded are limited and the data quality may be doubtable owing to the involvement of the human element.…”

Section: Introductionmentioning

confidence: 99%

A novel systematic methodology for ship propulsion engines energy management

Tsitsilonis

Theotokatos²

2018

Journal of Cleaner Production

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Establishing an energy monitoring and management methodology is a quintessential milestone for informed energy savings decision making as well as for effectively reducing the cost and the environmental impact of shipping operations. In this study, a novel systematic methodology is proposed for the energy management of the ship propulsion engine, which is the largest ship energy producer. The methodology employs a combination of tools including statistical analysis, predicting the engine air flow via compressor modelling and energy and exergy analyses, whereas its output includes the engine operating profile, the most frequently occurring propeller curves and the engine most frequent operating points, the key performance indicators for quantitatively assessing the recorded parameters quality as well as the energy and exergy flows and exergy destruction of the engine components. The methodology is implemented for three case studies for a very large crude carrier, a container ship and a bulk carrier, for which recorded data were available by using different monitoring techniques from either noon reports of automatic data acquisition systems. The derived results provide the engine operating profile demonstrating that the investigated vessels were operating in slow steaming conditions with a lower engine efficiency associated with a greater exhaust gas wasted energy. The measured data analysis demonstrates the better quality of the data recorded by automated monitoring systems and pinpoint maintenance issues of the engine components. Lastly, the exergy analysis results demonstrate that the exhaust gas and jacket cooling water provide the greater exergy flows rendering them attractive for energy saving initiatives, whereas the engine block, compressor and turbine are the engine components with the greater exergy destruction, thus requiring closing monitoring for timely identifying mitigating measures.

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Towards fault-tolerant decision support systems for ship operator guidance

Cited by 15 publications

References 23 publications

Estimation of sea state parameters by the wave buoy analogy with comparisons to third generation spectral wave models

Estimation of sea state parameters by the wave buoy analogy with comparisons to third generation spectral wave models

A brute-force spectral approach for wave estimation using measured vessel motions

A novel systematic methodology for ship propulsion engines energy management

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