Remaining useful life prediction based on exponential dispersion process with random drifts
Remaining Useful Life (RUL) is one of the most important indicators to detect a component failure. RUL can be predicted by historical data by adopting a model-based method. The stochastic process models have become the most popular way to model degradation data for high-quality products, such as the...
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| Autori principali: | , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Taylor & Francis Group
2025-10-01
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| Serie: | Statistical Theory and Related Fields |
| Soggetti: | |
| Accesso online: | https://www.tandfonline.com/doi/10.1080/24754269.2025.2555043 |
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