Blar i Department of Mechanical and Structural Engineering and Materials Science (TN-IMBM) på emneord "maskinlæring"
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AI and Machine Learning in Industrial Asset Management: Insights from CIAM Meetings
(Journal article, 2023)This paper investigates the influence of Artificial Intelligence (AI) and Machine Learning (ML) in Industrial Asset Management as reflected in the discussions from various Cluster for Industrial Asset Management (CIAM) ... -
Applying a machine learning method for cumulative fatigue damage estimation of the IEA 15MW wind turbine with monopile support structures
(Peer reviewed; Journal article, 2023)Offshore support structures are critical for offshore bottom-fixed wind turbines, as they bear nearly all the mass and loading of wind turbine systems. In addition, the support structures are generally subjected to a harsh ... -
Exploring of the incompatibility of marine residual fuel: A case study using machine learning methods
(Peer reviewed; Journal article, 2021-12)Providing quality fuel to ships with reduced SOx content is a priority task. Marine residual fuels are one of the main sources of atmospheric pollution during the operation of ships and sea tankers. Hence, the International ... -
Machine Learning Approach for Risk-Based Inspection Screening Assessment
(Peer reviewed; Journal article, 2019-05)Risk-based inspection (RBI) screening assessment is used to identify equipment that makes a significant contribution to the system's total risk of failure (RoF), so that the RBI detailed assessment can focus on analyzing ... -
Use of Machine Learning Techniques for Risk Based Inspection and Integrity Management of Pipeline Systems
(Masteroppgave/UIS-TN-IMBM/2019;, Master thesis, 2019-06-15)This thesis demonstrates the use of machine learning for integrity management and assessment of pipeline integrity using various types of classification algorithms on comprehensive in-line inspection data. Machine learning ...