Blar i NTNU Open på forfatter "Vanem, Erik"

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    • A benchmarking exercise for environmental contours 

      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 (Peer reviewed; Journal article, 2021)
      Environmental contours are used to simplify the process of design response analysis. A wide variety of contour methods exist; however, there have been a very limited number of comparisons of these methods to date. This ...

    • Data-Driven Approaches to Diagnostics and State of Health Monitoring of Maritime Battery Systems 

      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 (Chapter, 2023)
      Battery systems are increasingly being used for powering ocean going ships, and the number of fully electric or hybrid ships relying on battery power for propulsion and maneuvering is growing. In order to ensure the safety ...

    • Data-Driven Prediction of Ship Propulsion Power Using Spark Parallel Random Forest on Comprehensive Ship Operation Data 

      Liang, Qin; Vanem, Erik; Knutsen, Knut Erik; Zhang, Houxiang (Chapter, 2022)
      This paper aims to propose an efficient machine learning framework for maritime big data and use it to train a random forest model to estimate ships’ propulsion power based on ship operation data. The comprehensive data ...