Open AccessDEVELOPMENT OF AUTOMATIC MODE DETECTION SYSTEM BY IMPLEMENTING THE STATISTICAL ANALYSIS OF SHIP DATA TO MONITOR THE PERFORMANCE
Author(s) -
Ibna Zaman,
Kayvan Pazouki,
Rosemary Norman,
S Younessi,
Shirley Coleman
Publication year - 2021
Publication title -
international journal of maritime engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.242
H-Index - 17
eISSN - 1740-0716
pISSN - 1479-8751
DOI - 10.5750/ijme.v159ia3.1026
Subject(s) - operational excellence , mode (computer interface) , computer science , systems engineering , excellence , marine industry , operations research , risk analysis (engineering) , real time computing , engineering , operations management , business , environmental science , environmental resource management , law , political science , operating system
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.