The Derivative as a Probabilistic Synthesis of Past and Future Data and Remaining Useful Life Prediction
| Autor: | Luciano Barbanti, Márcio Antonio Bazani, Berenice Camargo Damasceno, Hadamez Kuzminskas |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Engineering
Series (mathematics) business.industry Probabilistic logic Stability (learning theory) Data series computer.software_genre Mechanical system chemistry.chemical_compound chemistry Prognostics Applied mathematics Data mining business computer Derivative (chemistry) Grünwald–Letnikov derivative |
| Zdroj: | Probabilistic Prognostics and Health Management of Energy Systems ISBN: 9783319558516 |
| DOI: | 10.1007/978-3-319-55852-3_12 |
| Popis: | The concept of remaining useful life (RUL) is crucial when dealing with mechanical systems. RUL is taken into account in a system through a series of prognostics and the study of stability in a related data series. This paper is focused on a powerful optimal technique in prognosis coming from the Grunwald–Letnikov definition of derivative. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|