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Improving predictive maintenance of marine vessels based on digital twin’s remote real-time monitoring system in the maritime 4.0 era
The master’s degree thesis will be on developing digital twin remote real-time monitoring systems to improve the predictive maintenance of in-service equipment on marine/offshore vessels. This will result in safer sailing because it will be possible to predict when and where failures occur, so that the appropriate corrective actions are initiated in time.
Faculty Supervisor:
Mervin Marshall
Student:
Partner:
Springboard Atlantic Inc.
Discipline:
Engineering
Sector:
Cyber Security; Transportation (excluding aerospace); Oil and Gas
University:
Memorial University of Newfoundland
Program:
Accelerate
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