Current Research Information SysTem In Norway
 
 

 Norsk versjon


 
Mainpage
Research results/NVI
Researchers
Projects
Research units
Log in
About Cristin
 
 
   
Back to search     Short format     Full format    
Export to


Showing results 1-50 of 113 << Previous 1 2 3    Next >>

2024
1 Vanem, Erik; Fekhari, Elias; Dimitrov, Nikolay; Kelly, Mark; Cousin, Alexis; Guiton, Martin.
A JOINT PROBABILITY DISTRIBUTION FOR MULTIVARIATE WIND-WAVE CONDITIONS AND DISCUSSIONS ON UNCERTAINTIES. Journal of Offshore Mechanics and Arctic Engineering 2024 ;Volume 146.(6) p. -
Untitled
 
2023
2 Aizpurua, Jose Ignacio; Knutsen, Knut Erik; Heimdal, Markus; Vanem, Erik.
Integrated machine learning and probabilistic degradation approach for vessel electric motor prognostics. Ocean Engineering 2023 ;Volume 275. p. -
UiO Untitled
 
3 Bertinelli Salucci, Clara; Bakdi, Azzeddine; Glad, Ingrid Kristine; Vanem, Erik; De Bin, Riccardo.
A novel semi-supervised learning approach for State of Health monitoring of maritime lithium-ion batteries. Journal of Power Sources 2023 ;Volume 556.
UiO Untitled
 
4 Liang, Qin; Vanem, Erik; Knutsen, Knut Erik; Æsøy, Vilmar; Zhang, Houxiang.
Unsupervised Anomaly detection In Marine Diesel Engines Using Transformer Neural Networks and Residual Analysis. I: Proceedings of the Asia Pacific Conference of the Prognostics and Health Management Society 2023. : PHM Society 2023 ISBN 1-936263-39-4.
UiO NTNU Untitled
 
5 Liang, Qin; Vanem, Erik; Xue, Yongjian; Alnes, Øystein; Zhang, Heke; Lam, James; Bruvik, Katrine.
Data-driven state of health monitoring for maritime battery systems–a case study on sensor data from ships in operation. Ships and Offshore Structures 2023 p. -
NTNU Untitled
 
6 Vanem, Erik.
Analysing multivariate extreme conditions using environmental contours and accounting for serial dependence. Renewable Energy 2023 ;Volume 202. p. 470-482
UiO Untitled
 
7 Vanem, Erik.
Analyzing Extreme Sea State Conditions by Time-Series Simulation Accounting for Seasonality. Journal of Offshore Mechanics and Arctic Engineering 2023 ;Volume 145.(5) p. 1-14
UiO Untitled
 
8 Vanem, Erik; Bruch, Maximilian; Liang, Qin; Thorbjørnsen, Hans Kristian; Valøen, Lars Ole; Alnes, Øystein Åsheim.
Data-driven snapshot methods leveraging data fusion to estimate state of health for maritime battery systems. Energy Storage 2023 ;Volume 5.(8)
UiO Untitled
 
9 Vanem, Erik; Liang, Qin; Ferreira, Carla; Agrell, Christian; Karandikar, Nikita; Wang, Shuai; bruch, maximilian; Bertinelli Salucci, Clara; Grindheim, Christian; Kejvalova, Anna; Alnes, Øystein Åsheim; Thorbjørnsen, Kristian; Bakdi, Azzeddine; Kandepu, Rambabu.
DATA-DRIVEN APPROACHES TO DIAGNOSTICS AND STATE OF HEALTH MONITORING OF MARITIME BATTERY SYSTEMS. I: PROCEEDINGS OF THE ANNUAL CONFERENCE OF THE PHM SOCIETY 2023. USA: PHM society 2023 ISBN 978-1-936263-29-5. p. -
UiO Untitled
 
2022
10 Bakdi, Azzeddine; Vanem, Erik.
Fullest COLREGs Evaluation Using Fuzzy Logic for Collaborative Decision-Making Analysis of Autonomous Ships in Complex Situations. IEEE transactions on intelligent transportation systems (Print) 2022 ;Volume 23.(10) p. 18433-18445
UiO Untitled
 
11 Bakka, Haakon Christopher; Rognebakke, Hanne Therese Wist; Glad, Ingrid Kristine; Haff, Ingrid Hobæk; Vanem, Erik.
Estimating the effect of biofouling on ship shaft power based on sensor measurements. Ship Technology Research 2022 ;Volume 70.(3) p. 209-221
UiO NR Untitled
 
12 Bertinelli Salucci, Clara; Bakdi, Azzeddine; Glad, Ingrid Kristine; Vanem, Erik; De Bin, Riccardo.
A novel semi-supervised learning approach for maritime lithium-ion battery monitoring. I: Proceedings of the 36th International Workshop on Statistical Modelling. EUT Edizioni Università di Trieste 2022 ISBN 978-88-5511-309-0. p. 85-90
UiO Untitled
 
13 Bertinelli Salucci, Clara; Bakdi, Azzeddine; Glad, Ingrid Kristine; Vanem, Erik; De Bin, Riccardo.
Multivariable Fractional Polynomials for lithium-ion batteries degradation models under dynamic conditions. Journal of Energy Storage 2022 ;Volume 52.
UiO Untitled
 
14 de Hauteclocque, Guillaume; Mackay, Ed; Vanem, Erik.
Quantitative comparison of environmental contour approaches. Ocean Engineering 2022 ;Volume 245.
Untitled
 
15 Garre, Luca; Guo, Bingjie; Gramstad, Odin; Vanem, Erik.
Application of the Tail Equivalent Linearization Method to wave bending moment and comparison with experimental data. Probabilistic Engineering Mechanics 2022 ;Volume 67.
Untitled
 
16 Guo, Bingjie; Liang, Qin; Tvete, Hans Anton; Brinks, Hendrik W.; Vanem, Erik.
Combined machine learning and physics-based models for estimating fuel consumption of cargo ships. Ocean Engineering 2022 ;Volume 255. p. -
Untitled
 
17 Hafver, Andreas; Agrell, Christian; Vanem, Erik.
Environmental contours as Voronoi cells. Extremes 2022 ;Volume 25.(3) p. 451-486
UiO Untitled
 
18 Liang, Qin; Vanem, Erik; Knutsen, Knut Erik; Zhang, Houxiang.
Data-Driven Prediction of Ship Propulsion Power Using Spark Parallel Random Forest on Comprehensive Ship Operation Data. I: 2022 IEEE 17th International Conference on Control & Automation (ICCA). IEEE conference proceedings 2022 ISBN 978-1-6654-9572-1. p. 303-308
NTNU UiO Untitled
 
19 Vanem, Erik.
Analyzing Extreme Sea State Conditions by Time-Series Simulation. I: International Conference on Ocean, Offshore and Arctic Engineering ASME 2022 41st. The American Society of Mechanical Engineers (ASME) 2022 ISBN 9780791885864. p. -
Untitled
 
20 Vanem, Erik; Bruch, Maximilian; Liang, Qin; Gonzalez, David Vicente Reyes; Alnes, Øystein Åsheim.
A Data-Driven Snapshot Method for State of Health Modelling and Diagnostics of Maritime Battery Systems. I: Proceedings of the Annual Conference of the PHM Society 2022. : PHM Society 2022 ISBN 978-1-936263-37-0. p. -
UiO Untitled
 
21 Vanem, Erik; Fazeres-Ferradosa, Tiago.
A truncated, translated Weibull distribution for shallow water sea states. Coastal Engineering 2022 ;Volume 172.
UiO Untitled
 
22 Vanem, Erik; Zhu, Tingyao; Babanin, Alexander.
Statistical modelling of the ocean environment – A review of recent developments in theory and applications. Marine Structures 2022 ;Volume 86. p. 1-15
UiO Untitled
 
2021
23 Bakdi, Azzeddine; Glad, Ingrid Kristine; Vanem, Erik.
Testbed Scenario Design Exploiting Traffic Big Data for Autonomous Ship Trials Under Multiple Conflicts With Collision/Grounding Risks and Spatio-Temporal Dependencies. IEEE transactions on intelligent transportation systems (Print) 2021 ;Volume 22.(12)
UiO Untitled
 
24 De Leo, Francesco; Besio, Giovanni; Briganti, Riccardo; Vanem, Erik.
Non-stationary extreme value analysis of sea states based on linear trends. Analysis of annual maxima series of significant wave height and peak period in the Mediterannean Sea. Coastal Engineering 2021 ;Volume 167. p. -
UiO Untitled
 
25 Haselsteiner, Andreas F.; Coe, Ryan G.; Manuel, Lance; Chai, Wei; Leira, Bernt Johan; Clarindo, Guilherme; Soares, Carlos Guedes; Hannesdóttir, Ásta; Dimitrov, Nikolay; Sander, Aljoscha; Ohlendorf, Jan-Hendrik; Thoben, Klaus-Dieter; Hauteclocque, Guillaume de; Mackay, Ed; Jonathan, Philip; Qiao, Chi; Myers, Andrew; Rode, Anna; Hildebrandt, Arndt; Schmidt, Boso; Vanem, Erik; Huseby, Arne Bang.
A benchmarking exercise for environmental contours. Ocean Engineering 2021 ;Volume 236. p. 1-29
NTNU UiO Untitled
 
26 Huseby, Arne; Vanem, Erik; Agrell, Christian; Hafver, Andreas.
Convex environmental contours. Ocean Engineering 2021 ;Volume 235. p. 1-11
UiO Untitled
 
27 Mackay, Ed; de Hauteclocque, Guillaume; Vanem, Erik; Jonathan, Philip.
The effect of serial correlation in environmental conditions on estimates of extreme events. Ocean Engineering 2021 ;Volume 242.
Untitled
 
28 Vanem, Erik.
STATISTICAL SURROGATE MODELS FOR SHIP FATIGUE. I: Proceedings of 3rd International Conference on Structural Integrity for Offshore Energy Industry. Glasgow, UK: ASRANet 2021 ISBN 9781838322632. p. 61-69
UiO Untitled
 
29 Vanem, Erik; Aarsnes, Lars Holterud; Storhaug, Gaute; Astrup, Ole Christian.
Statistical Modelling and Comparison of Model-Based Fatigue Calculations and Hull Monitoring Data for Container Vessels. I: Practical Design of Ships and Other Floating Structures. Proceedings of the 14th International Symposium, PRADS 2019, September 22-26, 2019, Yokohama, Japan- Volume II. Springer 2021 ISBN 978-981-15-4671-6. p. 517-536
UiO Untitled
 
30 Vanem, Erik; Alnes, Øystein Åsheim; Lam, James.
DATA-DRIVEN DIAGNOSTICS AND PROGNOSTICS FOR MODELLING THE STATE OF HEALTH OF MARITIME BATTERY SYSTEMS – A REVIEW. I: Proceedings of the Annual Conference of the PHM Society 2021. : PHM Society 2021 ISBN 9781936263356. p. -
UiO Untitled
 
31 Vanem, Erik; Bertinelli Salucci, Clara; Bakdi, Azzeddine; Alnes, Øystein Åsheim.
Data-driven state of health modelling—A review of state of the art and reflections on applications for maritime battery systems. Journal of Energy Storage 2021 ;Volume 43. p. 1-27
UiO Untitled
 
32 Vestre, Arnstein; Bakdi, Azzeddine; Vanem, Erik; Engelhardtsen, Øystein.
AIS-based near-collision database generation and analysis of real collision avoidance manoeuvres. Journal of navigation 2021 ;Volume 74.(5) p. 1-24
UiO Untitled
 
2020
33 Bakdi, Azzeddine; Glad, Ingrid Kristine; Vanem, Erik; Engelhardtsen, Øystein.
AIS-Based Multiple Vessel Collision and Grounding Risk Identification based on Adaptive Safety Domain. Journal of Marine Science and Engineering (JMSE) 2020 ;Volume 8.(1)
UiO Untitled
 
34 Ross, Emma; Astrup, Ole Christian; Bitner-Gregersen, Elzbieta; Bunn, Nigel; Feld, Graham; Gouldby, Ben; Huseby, Arne; Liu, Ye; Randell, David; Vanem, Erik; Jonathan, Philip.
On environmental contours for marine and coastal design. Ocean Engineering 2020 ;Volume 195:106194. p. 1-17
UiO Untitled
 
35 Vanem, Erik.
Bivariate regional extreme value analysis for significant wave height and wave period. Applied Ocean Research 2020 ;Volume 101.
Untitled
 
36 Vanem, Erik; Guo, Bingjie; Ross, Emma; Jonathan, Philip.
Comparing different contour methods with response-based methods for extreme ship response analysis. Marine Structures 2020 ;Volume 69. p. -
Untitled
 
37 Vanem, Erik; Hafver, Andreas; Nalvarte, Gladys.
Environmental contours for circular-linear variables based on the direct sampling method. Wind Energy 2020 ;Volume 23.(3) p. 563-574
Untitled
 
2019
38 Brandsæter, Andreas; Vanem, Erik; Glad, Ingrid Kristine.
Efficient on-line anomaly detection for ship systems in operation. Expert Systems With Applications 2019 ;Volume 121. p. 418-437
UiO Untitled
 
39 Fazeres-Ferradosa, Tiago; Rosa-Santos, P.; Taveira-Pinto, Francisco; Vanem, Erik; Carvalho, H.; Correia, J..
Editorial: Advanced research on offshore structures and foundation design: part 1. Proceedings of the Institution of Civil Engineers : Maritime Engineering 2019 ;Volume 172.(4) p. 118-123
Untitled
 
40 Guo, Bingjie; Gramstad, Odin; Vanem, Erik; Bitner-Gregersen, Elzbieta.
Study on the Effect of Climate Change on Ship Responses Based on Nonlinear Simulations. Journal of Offshore Mechanics and Arctic Engineering 2019 ;Volume 141.(4) Suppl. 041605 p. -
Untitled
 
41 Huseby, Arne; Vanem, Erik; Barbosa, Maria Hjelset.
Environmental contours for mixtures of distributions. I: Proceedings of the 29th European Safety and Reliability Conference(ESREL). 22 – 26 September 2019 Hannover, Germany. Research Publishing Services 2019 ISBN 978-981-11-2724-3. p. 839-846
UiO Untitled
 
42 Huseby, Arne; Vanem, Erik; Barbosa, Maria Hjelset.
Evaluating probabilistic properties of environmental contours for mixtures of distributions. 29th International European Safety and Reliability Conference (ESREL2019); 2019-09-22 - 2019-09-26
UiO Untitled
 
43 Ross, Emma; Astrup, Ole Christian; Bitner-Gregersen, Elzbieta; Bunn, Nigel; Feld, Graham; Gouldby, Ben; Huseby, Arne; Liu, Ye; Randell, David; Vanem, Erik; Jonathan, Philip.
On Environmental Contours for Marine and Coastal Design. I: ASME 2019 38th International Conference on Ocean, Offshore and Arctic Engineering. Volume 7B: Ocean Engineering. The American Society of Mechanical Engineers (ASME) 2019 ISBN 978-0-7918-5885-1. p. -
UiO Untitled
 
44 Steinbakk, Gunnhildur Högnadóttir; Aarsnes, Lars Holterud; Aldrin, Magne Tommy; Astrup, Ole Christian; Haug, Ola; Storhaug, Gaute; Vanem, Erik.
Statistical approximation to synthetic mid-ship hull girder stress response. SNAME Maritime Convention (SMC) 2019; 2019-10-30 - 2019-11-02
NR UiO Untitled
 
45 Steinbakk, Gunnhildur Högnadóttir; Aarsnes, Lars Holterud; Aldrin, Magne Tommy; Astrup, Ole Christian; Haug, Ola; Storhaug, Gaute; Vanem, Erik.
Statistical Approximation to Synthetic Midship Hull Girder Stress Response. Journal of Ship Research 2019 ;Volume 64.(3) p. 266-277
UiO NR Untitled
 
46 Vanem, Erik.
Environmental contours for describing extreme ocean wave conditions based on combined datasets. Stochastic environmental research and risk assessment (Print) 2019 ;Volume 33. p. 957-971
Untitled
 
47 Vanem, Erik.
Regional Frequency Analysis for spatial extreme value analysis of ocean waves. 2nd International Workshop on Waves, Storm Surges and Coastal Hazards; 2019-11-10 - 2019-11-16
UiO Untitled
 
48 Vanem, Erik.
3-dimensional environmental contours for structural reliability analysis of ships and offshore structures. Ships and Offshore Structures 2019 ;Volume 14.(1) p. 74-85
Untitled
 
49 Vanem, Erik; Brandsæter, Andreas.
Statistical approaches to Anomaly Detection based on Real-Time Sensor Measurements. The Hawssa Math and Stat international conference 2009; 2019-02-11 - 2019-02-15
UiO Untitled
 
50 Vanem, Erik; Brandsæter, Andreas.
Unsupervised anomaly detection based on clustering methods and sensor data on a marine diesel engine. Journal of Marine Engineering & Technology 2019 ;Volume 20.(4) p. 217-234
UiO Untitled
 
    Show next list