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Iraklis Lazakis
Iraklis Lazakis
Professor in Maritime Operations and Maintenance, NAOME, University of Strathclyde
Verified email at strath.ac.uk
Title
Cited by
Cited by
Year
Sensitivity analysis of offshore wind farm operation and maintenance cost and availability
R Martin, I Lazakis, S Barbouchi, L Johanning
Renewable Energy 85, 1226-1236, 2016
2022016
Machine learning models for predicting ship main engine Fuel Oil Consumption: A comparative study
C Gkerekos, I Lazakis, G Theotokatos
Ocean Engineering 188, 106282, 2019
1902019
Advanced logistics planning for offshore wind farm operation and maintenance activities
Y Dalgic, I Lazakis, I Dinwoodie, D McMillan, M Revie
Ocean Engineering 101, 211-226, 2015
1772015
Availability, operation and maintenance costs of offshore wind turbines with different drive train configurations
J Carroll, A McDonald, I Dinwoodie, D McMillan, M Revie, I Lazakis
Wind Energy 20 (2), 361-378, 2017
1602017
Predicting ship machinery system condition through analytical reliability tools and artificial neural networks
I Lazakis, Y Raptodimos, T Varelas
Ocean Engineering 152, 404-415, 2018
1382018
Development of a combined operational and strategic decision support model for offshore wind
I Dinwoodie, D McMillan, M Revie, I Lazakis, Y Dalgic
Energy Procedia 35, 157-166, 2013
1112013
Increasing ship operational reliability through the implementation of a holistic maintenance management strategy
I Lazakis, O Turan, S Aksu
Ships and Offshore Structures 5 (4), 337-357, 2010
1092010
Advanced ship systems condition monitoring for enhanced inspection, maintenance and decision making in ship operations
I Lazakis, K Dikis, AL Michala, G Theotokatos
Transportation Research Procedia 14, 1679-1688, 2016
1042016
Selection of the best maintenance approach in the maritime industry under fuzzy multiple attributive group decision-making environment
I Lazakis, A Ölçer
Proceedings of the Institution of Mechanical Engineers, Part M: Journal of …, 2016
932016
Maintenance/repair and production-oriented life cycle cost/earning model for ship structural optimisation during conceptual design stage
O Turan, Aİ Ölçer, I Lazakis, P Rigo, JD Caprace
Ships and Offshore Structures 4 (2), 107-125, 2009
932009
Machine learning and data-driven fault detection for ship systems operations
M Cheliotis, I Lazakis, G Theotokatos
Ocean Engineering 216, 107968, 2020
852020
Marine dual fuel engine modelling and parametric investigation of engine settings effect on performance-emissions trade-offs
S Stoumpos, G Theotokatos, E Boulougouris, D Vassalos, I Lazakis, ...
Ocean Engineering 157, 376-386, 2018
822018
Using artificial neural network-self-organising map for data clustering of marine engine condition monitoring applications
Y Raptodimos, I Lazakis
Ships and Offshore Structures 13 (6), 649-656, 2018
812018
A novel, data-driven heuristic framework for vessel weather routing
C Gkerekos, I Lazakis
Ocean Engineering 197, 106887, 2020
732020
Real-time data-driven missing data imputation for short-term sensor data of marine systems. A comparative study
C Velasco-Gallego, I Lazakis
Ocean Engineering 218, 108261, 2020
722020
Investigation of optimum crew transfer vessel fleet for offshore wind farm maintenance operations
Y Dalgic, I Lazakis, O Turan
Wind Engineering 39 (1), 31-52, 2015
712015
Vessel charter rate estimation for offshore wind O&M activities
Y Dalgic, I Lazakis, O Turan
International Maritime Association of Mediterranean IMAM 2013, 899-907, 2013
652013
Investigating an SVM-driven, one-class approach to estimating ship systems condition
I Lazakis, C Gkerekos, G Theotokatos
Ships and Offshore Structures 14 (5), 432-441, 2019
632019
Investigation of optimum jack-up vessel chartering strategy for offshore wind farm O&M activities
Y Dalgic, I Lazakis, O Turan, S Judah
Ocean Engineering 95, 106-115, 2015
622015
Application of NARX neural network for predicting marine engine performance parameters
Y Raptodimos, I Lazakis
Ships and Offshore Structures 15 (4), 443-452, 2020
522020
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