The main purpose of this work is to build data driven models for identifying operational profile of vessels based on historical sensor data acquisitions. The proposed approach utilize the advantage of the new generation of automation systems which allows gathering a large amount of data from on- board machinery. A data driven modelling of the operational profiles of the vessels could provide a tool both for diagnose and predict the state for improving the performance and the efficiency of the vessel, and for improving design solutions. The developed model has been tested and validated on a real DAMEN vessel where on-board sensors data acquisitions are available from the automation systems.
Vessel monitoring based on sensors data collection
Oneto Luca
2015-01-01
Abstract
The main purpose of this work is to build data driven models for identifying operational profile of vessels based on historical sensor data acquisitions. The proposed approach utilize the advantage of the new generation of automation systems which allows gathering a large amount of data from on- board machinery. A data driven modelling of the operational profiles of the vessels could provide a tool both for diagnose and predict the state for improving the performance and the efficiency of the vessel, and for improving design solutions. The developed model has been tested and validated on a real DAMEN vessel where on-board sensors data acquisitions are available from the automation systems.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
