Artikelen met mandaten voor openbare toegang - Iraklis LazakisMeer informatie
Nergens beschikbaar: 1
An innovative machine learning system for real time condition monitoring of ship machinery
S Oikonomou, I Lazakis, G Papadakis
Practical Design of Ships and Other Floating Structures: Proceedings of the …, 2021
Mandaten: UK Research & Innovation
Ergens beschikbaar: 26
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
Mandaten: UK Research & Innovation
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
Mandaten: UK Research & Innovation
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
Mandaten: UK Engineering and Physical Sciences Research Council
Machine learning and data-driven fault detection for ship systems operations
M Cheliotis, I Lazakis, G Theotokatos
Ocean Engineering 216, 107968, 2020
Mandaten: UK Research & Innovation
A novel, data-driven heuristic framework for vessel weather routing
C Gkerekos, I Lazakis
Ocean Engineering 197, 106887, 2020
Mandaten: UK Research & Innovation
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
Mandaten: UK Engineering and Physical Sciences Research Council
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
Mandaten: UK Engineering and Physical Sciences Research Council
A novel data condition and performance hybrid imputation method for energy efficient operations of marine systems
M Cheliotis, C Gkerekos, I Lazakis, G Theotokatos
Ocean Engineering 188, 106220, 2019
Mandaten: UK Research & Innovation
An optimization framework for daily route planning and scheduling of maintenance vessel activities in offshore wind farms
I Lazakis, S Khan
Ocean Engineering 225, 108752, 2021
Mandaten: European Commission
Development of an extended mean value engine model for predicting the marine two-stroke engine operation at varying settings
G Theotokatos, C Guan, H Chen, I Lazakis
Energy 143, 533-545, 2018
Mandaten: National Natural Science Foundation of China, UK Research & Innovation
Environmental interactions of tidal lagoons: A comparison of industry perspectives
K Elliott, HCM Smith, F Moore, AH van der Weijde, I Lazakis
Renewable energy 119, 309-319, 2018
Mandaten: UK Research & Innovation
Bayesian and machine learning-based fault detection and diagnostics for marine applications
M Cheliotis, I Lazakis, A Cheliotis
Ships and offshore structures 17 (12), 2686-2698, 2022
Mandaten: UK Research & Innovation
Analysing the effectiveness of different offshore maintenance base options for floating wind farms
N Avanessova, A Gray, I Lazakis, RC Thomson, G Rinaldi
Wind Energy Science Discussions 2021, 1-20, 2021
Mandaten: UK Engineering and Physical Sciences Research Council, UK Natural …
Leveraging big data for fuel oil consumption modelling
C Gkerekos, I Lazakis, S Papageorgiou
17th Conference on Computer and IT Applications in the Maritime Industries …, 2018
Mandaten: UK Research & Innovation
Methodology to prepare for UK’s offshore wind contract for difference auctions
NP Kell, E Santibanez-Borda, T Morstyn, I Lazakis, AC Pillai
Applied energy 336, 120844, 2023
Mandaten: UK Engineering and Physical Sciences Research Council, UK Natural …
A systematic review of transferable solution options for the environmental impacts of tidal lagoons
K Elliott, HCM Smith, F Moore, AH van der Weijde, I Lazakis
Marine Policy 99, 190-200, 2019
Mandaten: UK Research & Innovation
Lessons learned from 3 years of failure: Validating an FMEA with historical failure data
CJ Kenny, D Findlay, PR Thies, J Shek, I Lazakis
EWTEC, 2017
Mandaten: UK Research & Innovation
Development of a condition monitoring system for an articulated wave energy converter by FMEA
CJ Kenny, D Findlay, I Lazakis, J Shek, PR Thies
Risk, Reliability and Safety: Innovating Theory and Practice, 1151-1157, 2016
Mandaten: UK Research & Innovation
Analysis of input factors to operations and maintenance of two offshore wind farm case studies; a screening process
R Martin, I Lazakis, S Barbouchi
3rd Renewable Power Generation Conference (RPG 2014), 2.1. 3, 2014
Mandaten: UK Research & Innovation
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