A Survey on Data-Driven Fault Diagnostic Techniques for Marine Diesel Engines

TL;DR

This survey reviews recent data-driven fault diagnostic techniques for marine diesel engines, highlighting their importance for safety, reliability, and maintenance efficiency in maritime operations.

Contribution

It provides a comprehensive overview of data-driven methods applied to fault diagnosis in marine diesel engines, emphasizing recent advancements and practical applications.

Findings

Data-driven techniques improve fault detection accuracy.

Recent methods enhance maintenance scheduling.

Advancements contribute to safer maritime operations.

Abstract

Fault diagnosis in marine diesel engines is vital for maritime safety and operational efficiency.These engines are integral to marine vessels, and their reliable performance is crucial for safenavigation. Swift identification and resolution of faults are essential to prevent breakdowns,enhance safety, and reduce the risk of catastrophic failures at sea. Proactive fault diagnosisfacilitates timely maintenance, minimizes downtime, and ensures the overall reliability andlongevity of marine diesel engines. This paper explores the importance of fault diagnosis,emphasizing subsystems, common faults, and recent advancements in data-driven approachesfor effective marine diesel engine maintenance