A Fault Diagnosis Approach Utilizing Artificial Intelligence for Maritime Power Systems within an Integrated Digital Twin Framework

Fation Fera, Christos Spandonidis

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DOI: 10.3390/app14188107
Published: 2024-09-10
Container: Applied Sciences
Publisher: MDPI AG
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3390/app14188107,
  title = {A Fault Diagnosis Approach Utilizing Artificial Intelligence for Maritime Power Systems within an Integrated Digital Twin Framework},
  author = {Fation Fera and Christos Spandonidis},
  year = {2024},
  journal = {Applied Sciences},
  doi = {10.3390/app14188107},
  url = {https://doi.org/10.3390/app14188107}
}

RIS

TY  - JOUR
TI  - A Fault Diagnosis Approach Utilizing Artificial Intelligence for Maritime Power Systems within an Integrated Digital Twin Framework
AU  - Fation Fera
AU  - Christos Spandonidis
PY  - 2024
JO  - Applied Sciences
DO  - 10.3390/app14188107
UR  - https://doi.org/10.3390/app14188107
ER  -

APA

Fera, F., & Spandonidis, C. (2024). A Fault Diagnosis Approach Utilizing Artificial Intelligence for Maritime Power Systems within an Integrated Digital Twin Framework. Applied Sciences. https://doi.org/10.3390/app14188107

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crossref · retrieved 2026-09-25T12:16:34.001Z