Ship Sensors Data Collection &amp; Analysis for Condition Monitoring of Ship Structures &amp; Machinery Systems

Raptodimos, Yiannis; Lazakis, Iraklis; Theotokatos, Gerasimos; Varelas, Takis J.; Drikos, L.

doi:10.3940/rina.sst.2016.13

Cited by 13 publications

(11 citation statements)

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“…The study shows the effectiveness of Bragg grating fiber optic strain gauges for monitoring ships. Another research [12] explained how ship structural data harvesting by means of accelerometers and strain gauges is crucial to establishing essential parameters for preventing faults and describing future actions for maintenance. In addition to failure procedures, their feasibility, and consequences, further analyses using the appropriate sensors might be applied to prevent corrosion, crack initiation, and propagation in various ship parts.…”

Section: Sensor Applications For Structural Health Monitoring Of Mari...mentioning

confidence: 99%

“…With the development of new sensor technologies linked to innovative systems like the IoT, a new concept of smart ships has been considered in recent years. It was recognized in [12] that sensors play a critical role in realizing the concept of smart ships for enhancing safety, maintenance, and ship inspections. A container ship vessel made a journey from Tarragona (Spain) to Livorno (Italy), and during this route, parameters such as temperature and pressures were recorded for various machinery equipment located in the engine room of the ship.…”

Section: Sensor Application For Navigation and Onboard Securitymentioning

confidence: 99%

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Review on Sensors for Sustainable and Safe Maritime Mobility

Briguglio,

Crupi

2024

JMSE

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The increasingly stringent requirements—in terms of limiting pollutants and the constant need to make maritime transport safer—generated the necessity to foresee different solutions that are original. According to the European Maritime Safety Agency, the total number of reported marine casualties and incidents is 21.173 over the period 2014–2021, with a yearly average of 2.647 casualties and incidents. According to the same source, 495 cases of pollution were reported in the period from 2014 to 2021. Marine pollution by ships’ fuel and other pollutants is linked to 64.2% of all pollution. It is mandatory to offer a new kind of ship that can exploit new technologies to increase safety for people and onboard goods. It has been found that existing marine structures for maritime mobility do not have essential sensors for avoiding emergency situations such as flooding, oil spills, or health situations requiring efficient monitoring. In addition, there is a lack of legislation defining the insertion of unmanned vehicles into the actual marine infrastructure. This review highlighted the strengths and weaknesses of sensors in the maritime sector, intensifying areas of improvement for future challenges, such as sensor energy efficiency, data processing, sensor fusion methodologies, and accurate sea state description with environmental monitoring by means of unmanned vehicles.

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Section: Sensor Applications For Structural Health Monitoring Of Mari...mentioning

confidence: 99%

Section: Sensor Application For Navigation and Onboard Securitymentioning

confidence: 99%

Review on Sensors for Sustainable and Safe Maritime Mobility

Briguglio,

Crupi

2024

JMSE

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“…Therefore, to enable more depth in analysis more researchers adopt a method that combines 2 or more reliability tools in order to overcome some the deficiencies or take advantage of the other tool as shown [21,39,40]. Establishing component criticality to aid maintenance planning is a key aspect of maintenance strategy implementation, for instance FMECA for critical component identification in coal fire power plant for maintenance planning was presented by [41], while (Lazakis et al, 2010) presented a combination of FMEA and FTA in order to increase ship machinery 4 availability.…”

Section: Critical Literature Review On Component Criticality Analysismentioning

confidence: 99%

“…Reliability Importance measurers assist in identifying the event that, if improved, is most likely to produce significant improvement in equipment or system performance [23,49]. In essence the IM helps the operators, maintenance crew, administrators including regulatory agency in prioritisation of actions that could improvement in equipment/system reliability.…”

Section: Reliability Importance Measuresmentioning

confidence: 99%

Component Criticality Analysis for Improved Ship Machinery Reliability

Daya¹,

Lazakis²

2023

Preprint

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Redundancy in ship systems is provided to ensure operational resilience through equipment backups which ensures system availability and offline repairs of machinery. The electric power generation system of ships provides the most utility of all systems, hence is provided with good level of standby units to ensure reliable operations. Nonetheless, the occurrence of undesired black outs are common onboard ships and portends a serious danger to ship security and safety. Therefore, understanding the contributing factors affecting system reliability through component criticality analysis is essential to ensure a more robust maintenance and support platform for efficient ship operations. In this regard hybrid reliability and fault detection analysis were conducted to establish component criticality and related fault conditions. A case study was conducted on a ship power generation system consisting of 4 marine diesel power generation plants onboard an Offshore Patrol Vessel (OPV). Results from the reliability analysis indicate overall low system reliability of less than 70 per cent within the first 24 months of the 78 operational months. Component criticality using reliability importance measures was used to identify all components with more than 40 per cent contribution to sub systems failure. Additionally, machine learning was used to aid the reliability analysis through feature engineering and fault identification using Artificial Neural Networks classification. The ANN has identified failure patten threshold at about 200kva which can be attributed to overheating, hence establishing link between component failure and generator performance.

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“…The diagnosis of marine ICEs typically takes into account only single sensor values while a marine ICE can incorporate 15-17 sensors [9]. Making use of the complete sensor network has been proven useful in effectively supporting decisionmaking onboard marine vessels [10].…”

Section: Introductionmentioning

confidence: 99%

A Distributed Cyber-Physical Framework for Sensor Fault Diagnosis of Marine Internal Combustion Engines

Kougiatsos,

Reppa

2024

IEEE Trans. Contr. Syst. Technol.

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This article proposes a distributed model-based methodology for the diagnosis of faults affecting multiple sensors used for condition monitoring and control of marine internal combustion engines (ICEs). To handle the complexity of the ICE, we consider it as a set of interconnected physical subsystems that constitute the physical layer. For every subsystem, the detection of sensor faults relies on the design of cyber agents, where every agent monitors one subsystem. To handle the heterogeneous dynamics of each subsystem in the fault detection decisionmaking process, each agent uses differential and algebraic residuals alongside adaptive bounds. For isolation purposes, a combinatorial decision logic is employed, realized in two cyber levels: the local and the global decision logic. The first aims at the recognition of all sensor fault patterns that might have affected the engine based on the local agent fault signatures and certain binary decision matrices. The latter is used to capture the propagation of sensor faults between the different monitoring agents. Simulation results are used to showcase the proposed methodology's efficiency in tackling the problem and its applicability.

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Ship Sensors Data Collection & Analysis for Condition Monitoring of Ship Structures & Machinery Systems

Cited by 13 publications

References 0 publications

Review on Sensors for Sustainable and Safe Maritime Mobility

Review on Sensors for Sustainable and Safe Maritime Mobility

Component Criticality Analysis for Improved Ship Machinery Reliability

A Distributed Cyber-Physical Framework for Sensor Fault Diagnosis of Marine Internal Combustion Engines

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