Explainable Predictive Condition-based Maintenance of Naval-Propulsion Systems using Fuzzy Logic
The shipping industry has a significant impact on the global economy, emphasizing the need for operational availability and safety through the use of effective maintenance techniques. During the last decades, predictive maintenance (PdM) has emerged as a promising solution compared to the existing conventional maintenance systems. This is because it offers several advantageous functions, such as damage predictions for vessel components, reduced downtime, improved and extended life of machinery, as well as higher safety during voyages. However, existing methodologies developed for performing PdM do not provide explanations of their results to users, so that they can understand the failures...
| Authors | Dionisis Kalogeropoulos, Georgia Sovatzidi, Panagiotis G. Kalozoumis et al. |
|---|---|
| Primary category | cs.LG |
| Published | 21 September 2026 |
| Last updated at source | 25 September 2026 |
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