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Performance Monitoring and Automatic Operating Mode Detection Based on the Statistical Analysis of Ship Data

Lookup NU author(s): Ibna Zaman, Dr Kayvan Pazouki, Dr Shirley Coleman, Dr Rosemary Norman, Shervin Younessi

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Abstract

© 2015: The Roval Institution of Naval Architects. Shipping industry depends on global regulatory framework to operate efficiently. The industry is currently facing various technical and regulatory challenges. Performance monitoring, vessel optimisation, reduce emission and maintenance have become highly demanded to the operators. The marine industry is going ahead toward autonomous operation to reduce the human error. The rate of sensor technology implementation has increased and also raised new technological challenges. The analysis of sensors data will create new horizons to face those challenges and get operational excellence. This paper demonstrates the implementation of statistical analysis on ship data and develops a system to automatically detect the vessel operation modes based on the sensor data. Finally, the paper also exhibits how the operational modes are linked with performance monitoring and condition based maintenance.


Publication metadata

Author(s): Zaman IM, Pazouki K, Coleman S, Norman RA, Younessi S

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: International Conference on Energy Efficient Ships

Year of Conference: 2015

Pages: 79-84

Print publication date: 29/10/2015

Acceptance date: 14/07/2015

Publisher: Royal Institution of Naval Architects

URL: http://www.rina.org.uk/Energy_Efficient_Ships.html

DOI: 10.3940/rina.ees.2015.11

Library holdings: Search Newcastle University Library for this item

ISBN: 9781909024472


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