A Survey on Data-Driven Fault Diagnostic Techniques for Marine Diesel Engines - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2024

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

Ayah Youssef
  • Fonction : Auteur
  • PersonId : 1375061
Hassan Noura
  • Fonction : Auteur
  • PersonId : 1130564
El Mostafa El Adel
  • Fonction : Auteur
  • PersonId : 1044606
Mustapha Ouladsine
  • Fonction : Auteur
  • PersonId : 756299
  • IdRef : 092724515

Résumé

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 safe navigation. Swift identification and resolution of faults are essential to prevent breakdowns, enhance safety, and reduce the risk of catastrophic failures at sea. Proactive fault diagnosis facilitates timely maintenance, minimizes downtime, and ensures the overall reliability and longevity of marine diesel engines. This paper explores the importance of fault diagnosis, emphasizing subsystems, common faults, and recent advancements in data-driven approaches for effective marine diesel engine maintenance
Fichier principal
Vignette du fichier
113 Final Version_Ayah_YOUSSEF.pdf (208.38 Ko) Télécharger le fichier
ifacconf.pdf (204.36 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-04546643 , version 1 (15-04-2024)

Licence

Licence Ouverte - etalab

Identifiants

  • HAL Id : hal-04546643 , version 1

Citer

Ayah Youssef, Hassan Noura, Abderrahim El Amrani, El Mostafa El Adel, Mustapha Ouladsine. A Survey on Data-Driven Fault Diagnostic Techniques for Marine Diesel Engines. 12th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes, International Federation of Automatic Control (IFAC), Jun 2024, Farrera, Italy. ⟨hal-04546643⟩
0 Consultations
0 Téléchargements

Partager

Gmail Facebook X LinkedIn More