Data-Driven Remaining Useful Life Prognosis Techniques: Stochastic Models, Methods and Applications
(Bog, Paperback / softback, Engelsk)
- Type: Bog
- Format: Paperback / softback
-
Sprog:
Engelsk
- ISBN-13: 9783662571736
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Beskrivelse
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.
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| Forlag | Springer-Verlag Berlin and Heidelberg GmbH & Co. KG |
| Forfattere | Xiao-Sheng Si, Zheng-Xin Zhang, Chang-Hua Hu |
| Type | Bog |
| Format | Paperback / softback |
| Sprog | Engelsk |
| Udgave | Softcover reprint of the original 1st ed. 2017 |
| Udgivelsesdato | 13-07-2018 |
| Første udgivelsesår | 2018 |
| Serie | Springer Series in Reliability Engineering |
| Illustrationer | 84 Illustrations, color; 20 Illustrations, black and white; XVII, 430 p. 104 illus., 84 illus. in color. |
| Originalsprog | Germany |
| Sideantal | 430 |
| Indbinding | Paperback / softback |
| Forlag | Springer-Verlag Berlin and Heidelberg GmbH & Co. KG |
| Sideoplysninger | 430 pages, 84 Illustrations, color; 20 Illustrations, black and white; XVII, 430 p. 104 illus., 84 i |
| Mål | 235 x 155 |
| ISBN-13 / EAN-13 | 9783662571736 |