Research on Preventive Maintenance Strategies and Systems for in-Service Ship Equipment

Ting-xin, Song; Tan, Taiyang; Han, Guochen

doi:10.2478/pomr-2022-0009

Cited by 5 publications

(4 citation statements)

References 24 publications

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“…Other works propose their own strategies, suggesting a predictive maintenance solution based on a computational artificial intelligence model using real-time monitoring data, as stated by Jimenez et al [ 25 ]. They also expose a ship-level method for repair decisions based on the preventive maintenance concept, relying on an improved failure mode and effects analysis (FMEA) method along with a Weibull distribution model, where the parameters are intended to be calculated using the maximum likelihood estimation (MLE) to predict the characteristic life of the equipment, and then determine the actions to be taken regarding logical decision principles and rule-based reasoning (RBR) in agreement with Song et al [ 26 ].…”

Section: Related Workmentioning

confidence: 99%

A Fault-Detection System Approach for the Optimization of Warship Equipment Replacement Parts Based on Operation Parameters

Michelena

López

Lamas-Lopez

et al. 2023

Sensors

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Systems engineering plays a key role in the naval sector, focusing on how to design, integrate, and manage complex systems throughout their life cycle; it is therefore difficult to conceive functional warships without it. To this end, specialized information systems for logistical support and the sustainability of material solutions are essential to ensure proper provisioning and to know the operational status of the frigate. However, based on an architecture composed of a set of logistics applications, this information system may require highly qualified operators with a deep knowledge of the behavior of onboard systems to manage it properly. In this regard, failure detection systems have been postulated as one of the main cutting-edge methods to address the challenge, employing intelligent techniques for observing anomalies in the normal behavior of systems without the need for expert knowledge. In this paper, the study is concerned to the scope of the Spanish navy, where a complex information system structure is responsible for ensuring the correct maintenance and provisioning of the vessels. In such context, we hereby suggest a comparison between different one-class techniques, such as statistical models, geometric boundaries, or dimensional reduction to face anomaly detection in specific subsystems of a warship, with the prospect of applying it to the whole ship.

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Section: Related Workmentioning

confidence: 99%

A Fault-Detection System Approach for the Optimization of Warship Equipment Replacement Parts Based on Operation Parameters

Michelena

López

Lamas-Lopez

et al. 2023

Sensors

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“…The respondents were asked to decide which of the two features was more important than the other, and to what extent, based on a rating scale from one to nine [25]. The scale was limited to odd numbers only (1,3,5,7,9) to make the comparison easier for the respondents. Furthermore, to check whether the preferences formed some kind of pattern, respondents were asked to provide additional information about the yacht they owned and which formed the subject of the pairwise comparison, such as the brand, hull type, main dimensions and purpose of the yacht.…”

Section: Aesthetics Of the Accessorymentioning

confidence: 99%

“…The scientific literature in the field of ocean engineering is mainly focused on maritime transport, its impact on the environment, and ways to optimise it, with the goals of safety and health; it therefore includes issues related to improving the efficiency of ships, for example by increasing the speed, capacity, lifespan and human safety while lowering pollution, costs, risks and accidents [2], [3]. The vast majority of research on motor yachts addresses the optimisation of the hull shape and the automation of the design process [4], [5].…”

Section: Introductionmentioning

confidence: 99%

Use of the AHP Method for Preference Determination in Yacht Design

Sierzputowski,

Karczewski,

Krata

2023

Polish Maritime Research

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A sailing yacht is a human-centred product, the design of which revolves primarily around the wants and desires of the future owner. In most cases, these preferences are not measurable, such as a personal aesthetic feeling, or a need for comfort, speed, safety etc. The aims of this paper are to demonstrate that these preferences can be classified and represented numerically, and to show that they are correlated with the type of yacht owned. As a case study, the owner’s preferences for deck equipment are considered. These are determined by pairwise comparisons of the importance rankings for features previously defined by yacht owners, following the analytic hierarchy process (AHP) method. As a result, a quantitative representation of these preferences is established, and they are shown to be correlated with the type of yacht. The findings of the current study show that the yacht owners’ preferences can be represented numerically, leading to a utilitarian conclusion that concerns the support and even some degree of automation of the design process.

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“…Applying this method could ensure higher reliability of the system components and lower maintenance costs. The same method was applied in [8] to ship components such as a fin stabiliser, high elastic couplings and diesel generator sets, in order to develop a new repair strategy. An improvement on the FMEA method was presented by Nguyen [9], who used failures in a tanker ship system as a case study.…”

Section: Introductionmentioning

confidence: 99%

Optimisation of Reliability and Maintenance Plan of the High-Pressure Fuel Pump System on Marine Engine

Knežević

Stazić

Orović

et al. 2022

Polish Maritime Research

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This paper presents a method of adjusting and designing the maintenance scheme for the high-pressure fuel pumps of a slow-speed two-stroke marine engine, MAN 6S70MC-C. The maintenance database for the marine fuel system was obtained from the planned maintenance software, and covered a period of 11 years. During this period, 29 failures occurred that required corrective actions. Our methodology includes failure mode analysis, risk analysis, reliability calculation and maintenance interval adjustment. Each failure is described using a failure mode analysis, based on a combination of the mode and cause of failure. The objective of this study is to recommend a new preventive maintenance interval based on the exponential reliability results and the analysed maintenance data. The initial maintenance plan for each fuel pump was set to 8,000 running hours, whereas in the modified plan, it is recommended to set this to 4,000 hours. Our results show an increase in the system reliability from 60% to 95% when the new modified maintenance plan is applied. In addition, the results and the recommended initial maintenance schedule are validated based on three similar types of engine with the same fuel pump system. The new maintenance approach can reduce the risk of component failure, which will lead to increased reliability of the fuel pump system and the optimisation of maintenance costs.

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Research on Preventive Maintenance Strategies and Systems for in-Service Ship Equipment

Cited by 5 publications

References 24 publications

A Fault-Detection System Approach for the Optimization of Warship Equipment Replacement Parts Based on Operation Parameters

A Fault-Detection System Approach for the Optimization of Warship Equipment Replacement Parts Based on Operation Parameters

Use of the AHP Method for Preference Determination in Yacht Design

Optimisation of Reliability and Maintenance Plan of the High-Pressure Fuel Pump System on Marine Engine

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