Paula Fischer

2025

1. Fischer, Paula; Dazer, Martin: Evaluating Success Conditions for Predictive Maintenance. In: 2025 Annual Reliability and Maintainability Symposium (RAMS), S. 1–7, 2025
   • Abstract

   Abstract

   The simulation study effectively demonstrates the feasibility of different maintenance strategies. The derivation of regression equations for all three maintenance strategies - reactive maintenance (RM), predictive maintenance (PM), and preventive maintenance (IM)-1 provides valuable insights into the cost implications of each strategy across a wide range of parameter combinations. These regression equations enable calculating costs for each operational strategy based on various input parameters. It is, therefore, possible to calculate which operational strategy is likely to be the most cost-effective under the given conditions, providing clarity on whether the implementation of a predictive maintenance strategy can be successful. A case study shows that when using predictive maintenance with RUL (Remaining Useful Life) prediction, the prediction quantile that determines the maintenance timing should be chosen at a low level. It was also shown that, for certain cost ratios between predictive costs and reactive costs, the range within which predictive maintenance can work under given circumstances can be very narrow (or even nonexistent).