Jin-Pan Chang

A feature-driven approach to marine engine health monitoring and fault diagnosis

Results indicate that Fuel_consumption, Running_period, and Engine_load are the best trio of features that influence prediction accuracy (A) in all hybrid models, which confirms that energy consumption and operational stress are the main factors in early fault identification.