Integrating Machine Learning-Based Remaining Useful Life Predictions with Cost-Optimal Block Replacement for Industrial Maintenance
This study presents a preventive maintenance methodology to predict the remaining useful life (RUL) of mechanical systems and determine cost-effective replacement schedules. The approach integrates machine learning for RUL prediction, Weibull distribution for reliability analysis, and a block replac...
Guardado en:
| Autores principales: | , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
The Prognostics and Health Management Society
2025-04-01
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| Colección: | International Journal of Prognostics and Health Management |
| Materias: | |
| Acceso en línea: | https://papers.phmsociety.org/index.php/ijphm/article/view/4242 |
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