Browsing SINTEF Open by Author "Perera, Lokukaluge Prasad"
Now showing items 1-15 of 15
-
Automated System for Fleet Benchmarking and Assessment of Technical Condition
Mo, Brage; Steinebach, Christian; Perera, Lokukaluge Prasad; Dehli, Petter; Lim, Tow Foong (ASME Proceedings | Ocean Engineering;OMAE2017-61219, Chapter, 2017-06-25)On-board Energy systems in vessels have to use fuel efficiently to maintain ship speed at lowest possible costs. This paper describes how to use ship operational data to improve and maintain efficiency of the vessel’s power ... -
Big Data in Shipping - Challenges and Opportunities
Rødseth, Ørnulf Jan; Perera, Lokukaluge Prasad; Mo, Brage (Chapter, 2016) -
Data analysis on marine engine operating regions in relation to ship navigation
Perera, Lokukaluge Prasad; Mo, Brage (Journal article; Peer reviewed, 2016-12-01)Data analysis techniques to understand marine engine operating regions as a part of the ship energy efficiency management plan (SEEMP) are proposed in this study. The SEEMP enforces to improve ship energy efficiency under ... -
Estimation of Directional Sea Spectra from Ship Motions in Sea Trials
Pascoal, R; Perera, Lokukaluge Prasad; Guedes Soares, Carlos (Journal article; Peer reviewed, 2017)This paper compares the skill of two algorithms that enable real-time estimation of the directional wave spectra exciting a ship from its measured motions. One algorithm consists of a nonlinear optimization of a parametric ... -
Failure intensity of offshore power plants under varying maintenance policies
Perera, Lokukaluge Prasad; Machado, Mario M.; Valland, Anders; Manguinho, Diego A.P. (Journal article; Peer reviewed, 2019-03)System reliability of an offshore power plant with several gas turbine engines is analyzed in this study to understand the failure intensity of a selected gas turbine engines under varying maintenance activities. A set of ... -
Industrial IoT to Predictive Analytics: A Reverse Engineering Approach from Shipping
Perera, Lokukaluge Prasad (Journal article; Peer reviewed, 2017)A novel mathematical framework to support industrial digitization of shipping is presented in this study. The framework supports a data flow path, i.e. from Industrial IoT (i.e. with Big Data) to Predictive Analytics, where ... -
Machine Learning based Data Handling Framework for Ship Energy Efficiency
Perera, Lokukaluge Prasad; Mo, Brage (Journal article; Peer reviewed, 2017-10-10)Appropriate navigation strategies should be developed to overcome the current shipping industrial challenges under emission-control-based energy efficiency measures. Effective navigation strategies should be based on ... -
Marine Engine Centered Localized Models for Sensor Fault Detection under Ship Performance Monitoring
Perera, Lokukaluge Prasad (Journal article; Peer reviewed, 2016)Sensor fault detection under marine engine centered localized models of an engine propeller combinator diagram is presented in this study. The proposed approach consists of two detection levels to identify of sensor fault ... -
Marine Engine Operating Regions under Principal Component Analysis to evaluate Ship Performance and Navigation Behavior
Perera, Lokukaluge Prasad; Mo, Brage (Journal article; Peer reviewed, 2016)Marine engine operating regions under principal component analysis (PCA) to evaluate ship performance and navigation behavior are presented in this study. A data set with ship performance and navigation information (i.e. ... -
Marine Engine-Centered Data Analytics for Ship Performance Monitoring
Perera, Lokukaluge Prasad; Mo, Brage (Journal article; Peer reviewed, 2017)This study proposes marine engine centered data analytics as a part of the ship energy efficiency management plan (SEEMP). The SEEMP enforces various emission control measures to improve ship energy efficiency by considering ... -
Navigation vector based ship maneuvering prediction
Perera, Lokukaluge Prasad (Journal article; Peer reviewed, 2017-07-17)A novel mathematical framework for predicting ship maneuvers within a short time interval is presented in this study. The first part of this study consists of estimating the required vessel states and parameters by considering ... -
Proactive Collision Avoidance for Autonomous Ships: Leveraging Machine Learning to Emulate Situation Awareness
Murray, Brian; Perera, Lokukaluge Prasad (Peer reviewed; Journal article, 2021)Autonomous ship technology is developing at a rapid pace, with the aim of facilitating safe ship operations. Collision avoidance is one of the most critical tasks that autonomous ships must handle. To support the level of ... -
Ship Performance and Navigation Data Compression and Communication under Autoencoder System Architecture
Perera, Lokukaluge Prasad; Mo, Brage (Journal article; Peer reviewed, 2018-06)Modern vessels are designed to collect, store and communicate large quantities of ship performance and navigation information through complex onboard data handling processes. That data should be transferred to shore based ... -
Ship speed power performance under relative wind profiles in relation to sensor fault detection
Perera, Lokukaluge Prasad; Mo, Brage (Journal article; Peer reviewed, 2018-12)Statistical Data analysis and visualization approaches to identify ship speed power performance under relative wind (i.e. apparent wind) profiles are considered in this study. Ship performance and navigation data of a ... -
Statistical Filter based Sensor and DAQ Fault Detection for Onboard Ship Performance and Navigation Monitoring Systems
Perera, Lokukaluge Prasad (Journal article; Peer reviewed, 2016)Statistical filter based sensor and data acquisition (DAQ) fault detection is presented in this study. The parameters of a large-scale data set of ship performance and navigation information are considered as statistical ...