Explainable Anomaly Detection Framework for Maritime Main Engine Sensor Data

In this study, we proposed a data-driven approach to the condition monitoring of the marine engine. Although several unsupervised methods in the maritime industry have existed, the common limitation was the interpretation of the anomaly; they do not explain why the model classifies specific data ins...

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Detalles Bibliográficos
Autores principales: Kim, Donghyun, Antariksa, Gian, Handayani, Melia Putri, Lee, Sangbong, Lee, Jihwan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8347810/
https://www.ncbi.nlm.nih.gov/pubmed/34372436
http://dx.doi.org/10.3390/s21155200

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8347810/
https://www.ncbi.nlm.nih.gov/pubmed/34372436
http://dx.doi.org/10.3390/s21155200

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