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Data-driven remaining useful life prognosis techniques: stochastic models, methods and applications
This book introduces data-driven remaining useful life prognosis techniques, and shows how to utilize the condition monitoring data to predict the remaining useful life of stochastic degrading systems and to schedule maintenance and logistics plans. It is also the first book that describes the basic...
| Autores principales: | , , |
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| Lenguaje: | eng |
| Publicado: |
Springer
2017
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1007/978-3-662-54030-5 http://cds.cern.ch/record/2253851 |