A novel method for evaluation of the maintenance impact in the health of industrial components
This study presents a novel method for evaluating maintenance effectiveness in industrial systems, built around the concept of “risk curves” as quantitative indicators of failure. By integrating Failure Mode and Effect Analysis (FMEA) with machine learning-based anomaly detection models, the propose...
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| Main Authors: | F. Javier Bellido-Lopez, Miguel A. Sanz-Bobi, Antonio Muñoz, Daniel Gonzalez-Calvo, Tomas Alvarez-Tejedor |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-09-01
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| Series: | Results in Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590123025018808 |
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