Erik Vanem

Associate Professor - Statistics and Data Science
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Room 800
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Visiting address Moltke Moes vei 35 Niels Henrik Abels hus 0851 OSLO
Postal address Postboks 1053 Blindern 0316 OSLO
Tags: Statistics and biostatistics

Publications

  • Vanem, Erik; Guo, Bingjie; Ross, Emma & Jonathan, Philip (2020). Comparing different contour methods with response-based methods for extreme ship response analysis. Marine Structures.  ISSN 0951-8339.  69 . doi: https://doi.org/10.1016/j.marstruc.2019.102680
  • Brandsæter, Andreas; Vanem, Erik & Glad, Ingrid Kristine (2019). Efficient on-line anomaly detection for ship systems in operation. Expert systems with applications.  ISSN 0957-4174.  121, s 418- 437 . doi: 10.1016/j.eswa.2018.12.040
  • Guo, Bingjie; Gramstad, Odin; Vanem, Erik & Bitner-Gregersen, Elzbieta (2019). Study on the Effect of Climate Change on Ship Responses Based on Nonlinear Simulations. Journal of Offshore Mechanics and Arctic Engineering.  ISSN 0892-7219.  141(4) . doi: doi: 10.1115/1.4042182
  • Huseby, Arne; Vanem, Erik & Barbosa, Maria Hjelset (2019). Environmental contours for mixtures of distributions, In Michael Beer & Enrico Zio (ed.),  Proceedings of the 29th European Safety and Reliability Conference(ESREL). 22 – 26 September 2019 Hannover, Germany.  Research Publishing Services.  ISBN 978-981-11-2724-3.  719.  s 839 - 846 Show summary
  • Ross, Emma; Astrup, Ole Christian; Bitner-Gregersen, Elzbieta; Bunn, Nigel; Feld, Graham; Gouldby, Ben; Huseby, Arne; Liu, Ye; Randell, David; Vanem, Erik & Jonathan, Philip (2019). On Environmental Contours for Marine and Coastal Design, In . ASME (ed.),  ASME 2019 38th International Conference on Ocean, Offshore and Arctic Engineering. Volume 7B: Ocean Engineering.  ASME Press.  ISBN 978-0-7918-5885-1.  V07BT06A012.
  • Vanem, Erik (2019). 3-dimensional environmental contours for structural reliability analysis of ships and offshore structures. Ships and Offshore Structures.  ISSN 1744-5302.  14(1), s 74- 85
  • Vanem, Erik (2019). Environmental contours for describing extreme ocean wave conditions based on combined datasets. Stochastic environmental research and risk assessment (Print).  ISSN 1436-3240.  33, s 957- 971 . doi: https://doi.org/10.1007/s00477-019-01670-6
  • Vanem, Erik & Brandsæter, Andreas (2019). Unsupervised anomaly detection based on clustering methods and sensor data on a marine diesel engine. Journal of Marine Engineering & Technology.  ISSN 2046-4177. . doi: 10.1080/20464177.2019.1633223
  • Vanem, Erik; Gramstad, Odin & Bitner-Gregersen, Elzbieta (2019). A simulation study on the uncertainty of environmental contours due to sampling variability for different estimation methods. Applied Ocean Research.  ISSN 0141-1187.  91 . doi: https://doi.org/10.1016/j.apor.2019.101870
  • Vanem, Erik & Guo, Bingjie (2019). Comparison of the Environmental Contour Method and Response-Based Analysis Using Response Emulator for Estimating Extreme Ship Responses, In  ASME 2019 38th International Conference on Ocean, Offshore and Arctic Engineering (OMAE2019): Volume 4: Materials Technology.  ASME Press.  ISBN 978-0-7918-5879-0.  V003T02A019.
  • Vanem, Erik & Huseby, Arne (2019). Environmental Contours for Safe Design of Ships and Other Marine Structures, In  Book of Proceedings. 2nd International Conference on Structural Integrity for Offshore Energy Industry.  ASRANET.  ISBN 978-1-9996144-3-0.  paper.  s 70 - 77
  • Velarde, Joey; Vanem, Erik; Kramhøft, Claus & Dalsgaard Sørensen, John (2019). Probabilistic analysis of offshore wind turbines under extreme resonant response: Application of environmental contour method. Applied Ocean Research.  ISSN 0141-1187.  93
  • Bitner-Gregersen, Elzbieta M.; Vanem, Erik; Gramstad, Odin; Hørte, Torfinn; Aarnes, Ole Johan; Reistad, Magnar; Breivik, Øyvind; Magnusson, Anne Karin & Natvig, Bent (2018). Climate change and safe design of ship structures. Ocean Engineering.  ISSN 0029-8018.  149, s 226- 237 . doi: 10.1016/j.oceaneng.2017.12.023 Full text in Research Archive.
  • Brandsæter, Andreas & Vanem, Erik (2018). Ship speed prediction based on full scale sensor measurements of shaft thrust and environmental conditions. Ocean Engineering.  ISSN 0029-8018.  162, s 316- 330 . doi: 10.1016/j.oceaneng.2018.05.029
  • Fazeres-Ferradosa, Tiago; Taveira-Pinto, Francisco; Romao, X.; Vanem, Erik; Reis, Maria Teresa & das Neves, Luciana (2018). Probabilistic design and reliability analysis of scour protections for offshore windfarms. Engineering Failure Analysis.  ISSN 1350-6307.  91, s 291- 305 . doi: 10.1016/j.engfailanal.2018.04.035
  • Fazeres-Ferradosa, Tiago; Taveira-Pinto, Francisco; Vanem, Erik; Reis, Maria Teresa & das Neves, Luciana (2018). Asymmetric copula–based distribution models for met-ocean data in offshore wind engineering applications. Wind Engineering : The International Journal of Wind Power.  ISSN 0309-524X.  42(4), s 304- 334 . doi: 10.1177/0309524X18777323
  • Gramstad, Odin; Vanem, Erik & Bitner-Gregersen, Elzbieta (2018). Uncertainty of Environmental Contours due to Sampling Variability. International Conference on Offshore Mechanics and Arctic Engineering (OMAE) [proceedings].  ISSN 1523-651X.
  • Guo, Bingjie; Gramstad, Odin; Vanem, Erik & Bitner-Gregersen, Elzbieta (2018). Study on the Effect of Climate Change on Ship Responses based on Nonlinear Simulations. International Conference on Offshore Mechanics and Arctic Engineering (OMAE) [proceedings].  ISSN 1523-651X.
  • Stefanakos, Christos & Vanem, Erik (2018). Nonstationary fuzzy forecasting of wind and wave climate in very long-term scales. Journal of Ocean Engineering and Science.  ISSN 2468-0133.  3, s 144- 155 . doi: 10.1016/j.joes.2018.04.001 Full text in Research Archive. Show summary
  • Stefanakos, Christos & Vanem, Erik (2018). Comparison of Wind and Wave Extremes in Very Long-Term Climatic Scales, In  ASME 2018 37th International Conference on Ocean, Offshore and Arctic Engineering - Volume 7B: Ocean Engineering.  ASME Press.  ISBN 978-0-7918-5127-2.  OMAE2018-77581. Full text in Research Archive. Show summary
  • Vanem, Erik (2018). A simple approach to account for seasonality in the description of extreme ocean environments. Marine Systems & Ocean Technology.  ISSN 1679-396X.  13, s 63- 73 . doi: https://doi.org/10.1007/s40868-018-0046-6
  • Vanem, Erik (2018). Statistical methods for condition monitoring systems. International Journal of Condition Monitoring.  ISSN 2047-6426.  8(1), s 9- 23 . doi: https://doi.org/10.1784/204764218822441960
  • Vanem, Erik & Brandsæter, Andreas (2018). Cluster-Based Anomaly Detection in Condition Monitoring of a Marine Engine System, In  Proceedings of the 2018 Prognostics and System Health Management Conference (PHM-Chongqing 2018).  IEEE.  ISBN 978-1-5386-5380-7.  paper.  s 20 - 31
  • Vanem, Erik & Huseby, Arne (2018). Combined Long-Term and Short-Term Description of Extreme Ocean Wave Conditions by 3-Dimensional Environmental Contours, In  The Proceedings of The Twenty-eighth (2018) International OCEAN AND POLAR ENGINEERING CONFERENCE, ISOPE 2018.  International Society of Offshore & Polar Engineers.  ISBN 978-1-880653-87-6.  paper.  s 470 - 477
  • Vanem, Erik & Huseby, Arne (2018). Seasonal and Omni-Seasonal Environmental Contours for Extreme Sea States, In  Proceedings of the 7th International Maritime Conference on Design for Safety, DfS 2018.  Osaka University.  ISBN 978-4-908678-12-7.  paper.  s 148 - 159
  • Vanem, Erik & Storvik, Geir Olve (2018). Dynamical Linear Models for Condition Monitoring with Multivariate Sensor Data. International Journal of COMADEM.  ISSN 1363-7681.  21(4), s 7- 18
  • Aarnes, Ole Johan; Reistad, Magnar; Breivik, Øyvind; Bitner-Gregersen, Elzbieta M.; Eide, Lars Ingolf; Gramstad, Odin; Magnusson, Anne Karin; Natvig, Bent & Vanem, Erik (2017). Projected changes in significant wave height toward the end of the 21st century: Northeast Atlantic. Journal of Geophysical Research (JGR): Oceans.  ISSN 2169-9275.  122(4), s 3394- 3403 . doi: 10.1002/2016JC012521 Full text in Research Archive.
  • Brandsæter, Andreas; Vanem, Erik & Glad, Ingrid Kristine (2017). Cluster Based Anomaly Detection with Applications in the Maritime Industry, In Chuan Li; José Valente de Oliveira; Ping Ding; Wei Guo; Juanjuan Shi & Yun Bai (ed.),  Proceedings of the 2017 International Conference on Sensing, Diagnostics, Prognostics, and Control SDPC 2017.  IEEE.  ISBN 978-1-5090-4020-9.  Konferanseartikkel.  s 328 - 333 Full text in Research Archive.
  • Huseby, Arne; Vanem, Erik & Eskeland, Karoline (2017). Evaluating properties of environmental contours, In Marko Cepin & Radim Bris (ed.),  Safety & Reliability, Theory and Applications.  CRC Press.  ISBN 978-1138629370.  264.  s 2101 - 2109 Full text in Research Archive. Show summary
  • Vanem, Erik (2017). A comparison study on the estimation of extreme structural response from different environmental contour methods. Marine Structures.  ISSN 0951-8339.  56, s 137- 162 . doi: /10.1016/j.marstruc.2017.07.002
  • Vanem, Erik (2017). A regional extreme value analysis of ocean waves in a changing climate. Ocean Engineering.  ISSN 0029-8018.  144, s 277- 295 . doi: /10.1016/j.oceaneng.2017.08.027
  • Vanem, Erik (2017). On the Influence of Environmental Contour Method in Estimating Extreme Structural Response, In  ASME 2017 36th International Conference on Ocean, Offshore and Arctic Engineering - Volume 3A: Structures, Safety and Reliability.  ASME Press.  ISBN 978-0-7918-5765-6.  Paper No. OMAE2017-61047, pp. V03AT02A050.
  • Vanem, Erik (2017). Regional Frequency Analysis of Extreme Waves in a Changing Climate, In  Proceedings of the IEEE OCEANS 2017.  IEEE conference proceedings.  ISBN 978-0-692-93559-0.  full paper.
  • Vanem, Erik; Brandsæter, Andreas & Gramstad, Odin (2017). Regression models for the effect of environmental conditions on the efficiency of ship machinery systems, In Lesley Walls; Matthew Revie & Tim Bedford (ed.),  Risk, Reliability and Safety: Innovating Theory and Practice : Proceedings of ESREL 2016 (Glasgow, Scotland, 25-29 September 2016).  CRC Press.  ISBN 9781138029972.  KAPITTEL.
  • Vanem, Erik & Storvik, Geir Olve (2017). Anomaly Detection Using Dynamical Linear Models and Sequential Testing on a Marine Engine System, In  PHM 2017 Proceedings of the Annual Conference of the Prognostics and Health Management Society 2017.  PHM Society.  ISBN 978-1-936263-26-4.  -.  s 185 - 200
  • Brandsæter, Andreas; Manno, Gabriele; Vanem, Erik & Glad, Ingrid Kristine (2016). An Application of Sensor-Based Anomaly Detection in the Maritime Industry, In NA NA (ed.),  2016 IEEE International Conference on Prognostics and Health Management (ICPHM 2016).  Curran Associates, Inc..  ISBN 9781509003839.  artikkel.
  • Huseby, Arne; Vanem, Erik & Natvig, Bent (2015). Alternative environmental contours for structural reliability analysis. Structural Safety.  ISSN 0167-4730.  54, s 32- 45 . doi: 10.1016/j.strusafe.2014.12.003 Show summary
  • Vanem, Erik; Huseby, Arne & Natvig, Bent (2014). Bayesian hierarchical spatio-temporal modelling of trends and future projections in the ocean wave climate with a CO2 regression component. Environmental and Ecological Statistics.  ISSN 1352-8505.  21(2), s 189- 220 . doi: 10.1007/s10651-013-0251-6
  • Huseby, Arne; Vanem, Erik & Natvig, Bent (2013). A New Method for Environmental Contours in Marine Structural Design, In conference ASME (ed.),  Proceedings of ASME 2013 32nd International Conference on Ocean, Offshore and Arctic Engineering (OMAE 2013). Volume 2A: Structures, Safety and Reliability.  ASME Press.  ISBN 978-0-7918-5532-4.  Paper No. OMAE2013-10053.
  • Huseby, Arne; Vanem, Erik & Natvig, Bent (2013). A new approach to environmental contours for ocean engineering applications based on direct Monte Carlo simulations. Ocean Engineering.  ISSN 0029-8018.  60, s 124- 135 . doi: 10.1016/j.oceaneng.2012.12.034
  • Vanem, Erik & Bitner-Gregersen, E. M. (2013). Modelling Long-Term Trends in Significant Wave Height and its Potential Impacts on Ship Structural Loads, In conference ASME (ed.),  Proceedings of ASME 2013 32nd International Conference on Ocean, Offshore and Arctic Engineering (OMAE 2013). Volume 2A: Structures, Safety and Reliability.  ASME Press.  ISBN 978-0-7918-5532-4.  Paper No. OMAE2013-10023.
  • Vanem, Erik & Breivik, Olav Nikolai (2013). Bayesian hierarchical modelling of North Atlantic windiness. Natural hazards and earth system sciences.  ISSN 1561-8633.  13(3), s 545- 557 . doi: 10.5194/nhess-13-545-2013 Show summary
  • Vanem, Erik; Natvig, Bent; Huseby, Arne & Bitner-Gregersen, E. M. (2013). An Illustration of the Effect of Climate Change on the Ocean Wave Climate - A Stochastic Model, In Bharat Raj Singh (ed.),  Climate Change - Realities, Impacts Over Ice Cap, Sea Level and Risks.  INTECH.  ISBN 978-953-51-0934-1.  Chapter 20.  s 481 - 508
  • Vanem, Erik & Walker, Sam-Erik (2013). Identifying trends in the ocean wave climate by time series analyses of significant wave height data. Ocean Engineering.  ISSN 0029-8018.  61, s 148- 160 . doi: 10.1016/j.oceaneng.2012.12.042
  • Vanem, Erik & Walker, Sam-Erik (2013). Time Series Analysis of Significant Wave Height Data for Identification of Trends in the Ocean Wave Climate, In conference ASME (ed.),  Proceedings of ASME 2013 32nd International Conference on Ocean, Offshore and Arctic Engineering (OMAE 2013). Volume 2A: Structures, Safety and Reliability.  ASME Press.  ISBN 978-0-7918-5532-4.  Paper No. OMAE2013-10024.
  • Vanem, Erik (2012). A Stochastic Model for Long-Term Trends in Significant Wave Height with a CO2 Regression Component, In . OMAE 2012 (ed.),  Proceedings of the ASME 2012 31st International Conference on Ocean, Offshore and Arctic Engineering OMAE2012 Volume I.  ASME Press.  ISBN 9780791844885.  OMAE2012-83012.  s 1 - 10
  • Vanem, Erik (2012). Ethics and fundamental principles of risk acceptance criteria. Safety Science.  ISSN 0925-7535.  50(4), s 958- 967 . doi: 10.1016/j.ssci.2011.12.030
  • Vanem, Erik (2012). Principles for setting risk acceptance criteria for safety critical activities, In Christophe Bérenguer; Antoine Grall & Carlos Guedes Soares (ed.),  Advances in Safety, Reliability and Risk Management - proceedings of the European Safety and Reliability Conference, ESREL 2011.  CRC Press.  ISBN 978-0-415-68379-1.  Artikkel.  s 1741 - 1751
  • Vanem, Erik & Bitner-Gregersen, Elzbieta (2012). Stochastic modelling of long-term trends in the wave climate and its potential impact on ship structural loads. Applied Ocean Research.  ISSN 0141-1187.  37, s 235- 248 . doi: 10.1016/j.apor.2012.05.006
  • Vanem, Erik; Huseby, Arne & Natvig, Bent (2012). A Bayesian hierarchical spatio-temporal model for significant wave height in the North Atlantic. Stochastic environmental research and risk assessment (Print).  ISSN 1436-3240.  26(5), s 609- 632 . doi: 10.1007/s00477-011-0522-4
  • Vanem, Erik; Huseby, Arne & Natvig, Bent (2012). A Stochastic Model in Space and Time for Monthly Maximum significant Wave Height, In  Geostatistics Oslo 2012.  Springer.  ISBN 978-94-007-4152-2.  41.  s 505 - 517
  • Vanem, Erik; Huseby, Arne & Natvig, Bent (2012). Modelling ocean wave climate with a Bayesian hierarchical space-time model and a log-transform of the data. Ocean Dynamics.  ISSN 1616-7341.  62(3), s 355- 375 . doi: 10.1007/s10236-011-0505-5
  • Vanem, Erik; Mangset, Lars Erik; Psarros, George & Skjong, Rolf (2012). An integrated Life Cycle Assessment model to facilitate ship ecodesign, In Christophe Bérenguer; Antoine Grall & Carlos Guedes Soares (ed.),  Advances in Safety, Reliability and Risk Management - proceedings of the European Safety and Reliability Conference, ESREL 2011.  CRC Press.  ISBN 978-0-415-68379-1.  Artikkel.  s 2870 - 2879
  • Vanem, Erik; Natvig, Bent & Huseby, Arne (2012). Modelling the Effect of Climate Change on the Ocean Wave Climate Around the World, In  The Proceedings of the Tenth (2012) ISOPE Pacific/Asia Offshore Mechanics Symposium PACOMS-2012.  International Society of Offshore & Polar Engineers.  ISBN 978-1-880653-93-7.  paper.  s 145 - 152
  • Vanem, Erik; Natvig, Bent & Huseby, Arne (2012). Modelling the effect of climate change on the wave climate of the world’s oceans. Ocean Science Journal.  ISSN 1738-5261.  47(2), s 123- 145 . doi: 10.1007/s12601-012-0013-7
  • Vanem, Erik (2011). Long-term time-dependent stochastic modelling of extreme waves. Stochastic environmental research and risk assessment (Print).  ISSN 1436-3240.  25(2), s 185- 209 . doi: 10.1007/s00477-010-0431-y
  • Vanem, Erik; Huseby, Arne & Natvig, Bent (2011). A Bayesian-Hierarchical Space-Time Model for Significant Wave Height Data, In  30th International Conference on Ocean, Offshore and Arctic Engineering (OMAE2011) - Vol. II.  ASME Press.  ISBN 978-0-7918-4434-2.  Paper no. OMAE2011-49716.  s 517 - 530
  • Vanem, Erik (2010). Stochastic models for long-term prediction of extreme waves: A literature survey, In Gang Chen (ed.),  29th International Conference on Ocean, Offshore and Arctic Engineering (OMAE 2010) : Shanghai, China, June 6-11, 2010.  ASME Press.  ISBN 978-0-7918-3873-0.  Paper no. OMAE2010-20076.  s 75 - 91

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  • Vanem, Erik (2013). Bayesian Hierarchical Space-Time Models with Application to Significant Wave Height. Springer.  ISBN 978-3-642-30252-7.  280 s.

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  • Huseby, Arne; Vanem, Erik & Barbosa, Maria Hjelset (2019). Evaluating probabilistic properties of environmental contours for mixtures of distributions. Show summary
  • Steinbakk, Gunnhildur Högnadóttir; Aarsnes, Lars Holterud; Aldrin, Magne Tommy; Astrup, Ole Christian; Haug, Ola; Storhaug, Gaute & Vanem, Erik (2019). Statistical approximation to synthetic mid-ship hull girder stress response.
  • Vanem, Erik & Brandsæter, Andreas (2019). Statistical approaches to Anomaly Detection based on Real-Time Sensor Measurements.
  • Vanem, Erik & Huseby, Arne (2019). Environmental contours for safe design of ships and other marine structures.
  • Stefanakos, Christos & Vanem, Erik (2018). Comparison of Wind and Wave Extremes in Very Long-Term Climatic Scales.
  • Huseby, Arne; Vanem, Erik & Eskeland, Karoline (2017). On the evaluation of probabilistic properties of environmental contours. Show summary
  • Vanem, Erik (2017). Dynamical Linear Models Applied to Ship Sensor Data.
  • Vanem, Erik (2016). Extreme value analysis of ocean waves in a changing climate.
  • Vanem, Erik; Glad, Ingrid Kristine & Storvik, Geir Olve (2016). Dynamical Linear Models for Condition Monitoring with Multivariate Sensor Data.
  • Vanem, Erik (2012). Bayesian hierarchical space-time models for the North Atlantic ocean wave climate.
  • Vanem, Erik & Bitner-Gregersen, Elzbieta (2012). A stochastic model for predicting future ocean wave climate and potential impact on ship environmental loads.
  • Vanem, Erik & Bitner-Gregersen, Elzbieta (2012). A stochastic model for predicting future ocean wave climate and potential impact on ship environmental loads.
  • Vanem, Erik; Huseby, Arne & Natvig, Bent (2011). Stochastic Modeling of Wave Climate Using a Bayesian Hierarchical Space-Time Model with a Log-Transform.
  • Vanem, Erik (2010). Modeling Long Term Trends and the Effect of Climate Change in Extreme Ocean Waves.

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Published Jan. 29, 2016 9:02 AM - Last modified Nov. 6, 2018 2:53 PM

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