Maintenance costs account for a significant share of operating expenses. Selecting the optimal maintenance strategy for … great potential in the field of Predictive Maintenance. In this thesis, a methodology to determine and compare the average … maintenance costs per cycle for Reactive, Preventive, and Predictive Maintenance, as well as a Reference Case is developed. This …

into vehicle health status and performance. Leveraging this data for predictive maintenance can significantly reduce … Maintenance (PdM), that integrates Long Short-Term Memory (LSTM) neural networks with K-means clustering to analyze unlabeled time … outperforms traditional methods across all tested metrics, marking a significant advancement in predictive maintenance for …