Predictive maintenance in naval vessel propulsion systems for enhanced marine operations using a BiGMM-HMM framework with divergence-based clustering

Predictive maintenance in naval vessel propulsion systems for enhanced marine operations using a BiGMM-HMM framework with divergence-based clustering

Abstract This study introduces a BiGMM-HMM Integration Framework designed to improve predictive maintenance strategies for naval vessel propulsion systems, addressing the need for efficient and reliable operation in marine engineering applications. The framework effectively manages multimodal sensor...

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Bibliographic Details
Main Authors: Farshid Javadnejad, Hyoshin John Park, Samuel Kovacic, Andres Sousa-Poza
Format: Article
Language:English
Published: Springer 2025-08-01
Series:Discover Oceans
Subjects:
Marine engineering
Predictive maintenance
Naval vessel propulsion
Hidden Markov Models
Gaussian Mixture Models
Multimodality
Online Access:https://doi.org/10.1007/s44289-025-00069-2
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https://doi.org/10.1007/s44289-025-00069-2

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