Explanatory LSTM-AE-Based Anomaly Detection for Time Series Data in Marine Transportation

Explanatory LSTM-AE-Based Anomaly Detection for Time Series Data in Marine Transportation

Ensuring the normal operation of mechanical equipment is crucial in marine transportation, as data anomalies in these systems can lead to serious safety incidents, environmental pollution, and economic losses. To improve the accuracy and efficiency of anomaly detection in ship equipment data, a long...

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Detalles Bibliográficos
Main Authors: Zhan Wang, Mwamba Kasongo Dahouda, Hyoseong Hwang, Inwhee Joe
Formato: Artigo
Idioma:English
Publicado: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Long short-term memory auto-encoder
anomaly detection
time series data
interpretation
Acceso en liña:https://ieeexplore.ieee.org/document/10856011/

Internet

https://ieeexplore.ieee.org/document/10856011/

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