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Systems Reliability and Data Driven Analysis for Marine Machinery Maintenance Planning and Decision Making

Machines (Basel), 2024-05, Vol.12 (5), p.294

2024

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Organisational structure configurations, their application and contribution to business performance in Greek shipping companies

WMU journal of maritime affairs, 2023-12, Vol.22 (4), p.543-570

2023

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Assessing offshore wind turbine reliability and availability

Proceedings of the Institution of Mechanical Engineers. Part M, Journal of engineering for the maritime environment, 2019-02, Vol.233 (1), p.267-282

2019

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Integrated Value Engineering and Risk Assessment Performance Measurement Framework in Ship-Manufacturing Industry towards Net Zero Emissions Using Fuzzy DEMATEL-AHP

Machines (Basel), 2023-08, Vol.11 (8), p.799

2023

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Component Criticality Analysis for Improved Ship Machinery Reliability

Machines (Basel), 2023-07, Vol.11 (7), p.737

2023

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A novel, data-driven heuristic framework for vessel weather routing

Ocean engineering, 2020-02, Vol.197, p.106887, Article 106887

2020

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RADIS: A real-time anomaly detection intelligent system for fault diagnosis of marine machinery

Expert systems with applications, 2022-10, Vol.204, p.117634, Article 117634

2022

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An optimization framework for daily route planning and scheduling of maintenance vessel activities in offshore wind farms

Ocean engineering, 2021-04, Vol.225, p.108752, Article 108752

2021

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Machine learning models for predicting ship main engine Fuel Oil Consumption: A comparative study

Ocean engineering, 2019-09, Vol.188, p.106282, Article 106282

2019

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Real-time data-driven missing data imputation for short-term sensor data of marine systems. A comparative study

Ocean engineering, 2020-12, Vol.218, p.108261, Article 108261

2020

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Using artificial neural network-self-organising map for data clustering of marine engine condition monitoring applications

Ships and offshore structures, 2018-08, Vol.13 (6), p.649-656

2018

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Application of NARX neural network for predicting marine engine performance parameters

Ships and offshore structures, 2020-04, Vol.15 (4), p.443-452

2020

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Machine learning and data-driven fault detection for ship systems operations

Ocean engineering, 2020-11, Vol.216, p.107968, Article 107968

2020

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On modeling insights for emerging engineering problems: A case study on the impact of climate uncertainty on the operational performance of offshore wind farms

Proceedings of the Institution of Mechanical Engineers. Part O, Journal of risk and reliability, 2018-10, Vol.232 (5), p.524-532

2018

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Developing an advanced reliability analysis framework for marine systems operations and maintenance

Ocean engineering, 2023-03, Vol.272, p.113766, Article 113766

2023

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Mar-RUL: A remaining useful life prediction approach for fault prognostics of marine machinery

Applied ocean research, 2023-11, Vol.140, p.103735, Article 103735

2023

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A real-time data-driven framework for the identification of steady states of marine machinery

Applied ocean research, 2022-04, Vol.121, p.103052, Article 103052

2022

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Sensitivity analysis of offshore wind farm operation and maintenance cost and availability

Renewable energy, 2016-01, Vol.85, p.1226-1236

2016

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The European Commission’s role in marine materials, equipment and components certification mutualisation

Journal of contemporary European research, 2016-08, Vol.12 (3)

2016

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A novel framework for imputing large gaps of missing values from time series sensor data of marine machinery systems

Ships and offshore structures, 2022-08, Vol.17 (8), p.1802-1811

2022

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Investigating an SVM-driven, one-class approach to estimating ship systems condition

Ships and offshore structures, 2019-07, Vol.14 (5), p.432-441

2019

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Advanced logistics planning for offshore wind farm operation and maintenance activities

Ocean engineering, 2015-06, Vol.101, p.211-226

2015

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Bayesian and machine learning-based fault detection and diagnostics for marine applications

Ships and offshore structures, 2022-12, Vol.17 (12), p.2686-2698

2022

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A novel data condition and performance hybrid imputation method for energy efficient operations of marine systems

Ocean engineering, 2019-09, Vol.188, p.106220, Article 106220

2019

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Development of an extended mean value engine model for predicting the marine two-stroke engine operation at varying settings

Energy (Oxford), 2018-01, Vol.143, p.533-545

2018

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Systems Reliability and Data Driven Analysis for Marine Machinery Maintenance Planning and Decision Making

Organisational structure configurations, their application and contribution to business performance in Greek shipping companies

Assessing offshore wind turbine reliability and availability

Integrated Value Engineering and Risk Assessment Performance Measurement Framework in Ship-Manufacturing Industry towards Net Zero Emissions Using Fuzzy DEMATEL-AHP

Component Criticality Analysis for Improved Ship Machinery Reliability

A novel, data-driven heuristic framework for vessel weather routing

RADIS: A real-time anomaly detection intelligent system for fault diagnosis of marine machinery

An optimization framework for daily route planning and scheduling of maintenance vessel activities in offshore wind farms

Machine learning models for predicting ship main engine Fuel Oil Consumption: A comparative study

Real-time data-driven missing data imputation for short-term sensor data of marine systems. A comparative study

Using artificial neural network-self-organising map for data clustering of marine engine condition monitoring applications

Application of NARX neural network for predicting marine engine performance parameters

Machine learning and data-driven fault detection for ship systems operations

On modeling insights for emerging engineering problems: A case study on the impact of climate uncertainty on the operational performance of offshore wind farms

Developing an advanced reliability analysis framework for marine systems operations and maintenance

Mar-RUL: A remaining useful life prediction approach for fault prognostics of marine machinery

A real-time data-driven framework for the identification of steady states of marine machinery

Sensitivity analysis of offshore wind farm operation and maintenance cost and availability

The European Commission’s role in marine materials, equipment and components certification mutualisation

A novel framework for imputing large gaps of missing values from time series sensor data of marine machinery systems

Investigating an SVM-driven, one-class approach to estimating ship systems condition

Advanced logistics planning for offshore wind farm operation and maintenance activities

Bayesian and machine learning-based fault detection and diagnostics for marine applications

A novel data condition and performance hybrid imputation method for energy efficient operations of marine systems

Development of an extended mean value engine model for predicting the marine two-stroke engine operation at varying settings

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