IJME 411

Paper Title: Development of Automatic Mode Detection System by Implementing the Statistical Analysis of Ship Data to Monitor the Performance

Authors

I Zaman, K Pazouki, R Norman, School of Marine Science and Technology, Newcastle University, UK
S Younessi, Royston Ltd, UK
S Coleman, Industrial Statistics Research Unit, Newcastle University, UK

Summary 

The shipping industry depends on a global regulatory framework to operate efficiently. The industry is currently facing various technical and regulatory challenges. Performance monitoring, vessel optimisation, reduction of emissions and maintenance have become high priorities for ship operators. The marine industry is also moving towards autonomous operation to reduce human error. The rate of sensor technology implementation has increased and also raised new technological challenges. The analysis of sensor data creates new challenges to achieve operational excellence. This paper presents the implementation of statistical analysis on ship data and develops a system to automatically detect the vessel operational modes based on sensor data.

Reference

Transactions RINA, Vol 159, Part A3, International Journal Maritime Engineering, Jul-Sep 2017 

DOI Number

DOI No: 10.3940/rina.ijme.2017.a3.411

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