An integrated sensor and process fault diagnosis framework for marine vessels

Master Thesis (2022)
Author(s)

P. Pantela (TU Delft - Mechanical Engineering)

Contributor(s)

Vasso Reppa – Mentor (TU Delft - Transport Engineering and Logistics)

N. Kougiatsos – Mentor (TU Delft - Transport Engineering and Logistics)

Xiaoli Jiang – Graduation committee member (TU Delft - Transport Engineering and Logistics)

Faculty
Mechanical Engineering
Copyright
© 2022 Patroclos Pantela
More Info
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Publication Year
2022
Language
English
Copyright
© 2022 Patroclos Pantela
Graduation Date
20-12-2022
Awarding Institution
Delft University of Technology
Programme
['Marine Technology | Transport Engineering and Logistics']
Faculty
Mechanical Engineering
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Abstract

This research work tries to provide a model-based, distributed Fault Diagnosis (FD) framework that will eventually act as an early warning system for online monitoring of the marine propulsion process, in order to avoid future failures and accidents. Furthermore, the introduction of adaptive thresholds in the monitoring modules of the monitoring agents helps minimize false alarms and reduces the conservativeness in decision-making. Finally, this work comes to provide an integrated sensor and process FD framework that can be adopted on-board marine vessels in the future, and narrow down the gap, regarding FD for marine vessels which is closely linked with maritime safety and maintenance decision-making.

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