Blar i Institutt for havromsoperasjoner og byggteknikk på tidsskrift "IEEE Access"
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A Language and Platform Independent Co-Simulation Framework Based on the Functional Mock-Up Interface
(Journal article; Peer reviewed, 2019)The main goal of the Functional Mock-up Interface (FMI) standard is to allow the sharing of simulation models across tools. To accomplish this, FMI relies on a combination of XML-files and compiled C-code packaged in a zip ... -
An Unsupervised Reconstruction-Based Fault Detection Algorithm for Maritime Components
(Journal article; Peer reviewed, 2019)In recent years, the reliability and safety requirements of ship systems have increased drastically. This has prompted a paradigm shift toward the development of prognostics and health management (PHM) approaches for these ... -
Cyber Risk Perception in the Maritime Domain: A Systematic Literature Review
(Peer reviewed; Journal article, 2021)This paper aims to present an approach to investigate cyber risk perception with use of recognized psychological models, and to give an overview of state-of-the-art research within the field of cyber risk perception in ... -
An effective ship control strategy for collision-free maneuver toward a dock
(Peer reviewed; Journal article, 2020)Ship maneuvering toward a dock is a hot research topic in the field of autonomous ships. How to realize autonomous low-speed maneuver to a designated location under environmental disturbances is the fundamental problem at ... -
Mechanical design optimization of a 6DOF serial manipulator using genetic algorithm
(Journal article; Peer reviewed, 2018)Robots are becoming increasingly more common in the industry. In order to expand the use of robotic manipulators to complex tasks, a higher degree of tailoring of robots may be required. Tailoring of the mechanical design ... -
A Novel Channel and Temporal-wise Attention in Convolutional Networks for Multivariate Time Series Classification
(Peer reviewed; Journal article, 2020)Multivariate time series classification (MTSC) is a fundamental and essential research problem in the domain of time series data mining. Recently deep neural networks emerged as an end-to-end solution for MTSC and achieve ... -
Optimizing CNN Hyperparameters for Mental Fatigue Assessment in Demanding Maritime Operations
(Peer reviewed; Journal article, 2020)Human-related issues play an important role in accidents and causalities in demanding maritime operations. The industry lacks an approach capable of preventively assessing maritime operators' mental fatigue and awareness ... -
Validation of Data-Driven Labeling Approaches Using a Novel Deep Network Structure for Remaining Useful Life Predictions
(Journal article; Peer reviewed, 2019)Today, most research studies that aim to predict the remaining useful life (RUL) of industrial components based on deep learning techniques are using piecewise linear (PwL) run-to-failure targets to model the degradation ...