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Integrated Vehicle Health Management (IVHM) is a major component in a new future asset management paradigm where a conscious effort is made to shift asset maintenance from a scheduled based approach to a more proactive and predictive approach. Its goal is to maximize asset operational availability while minimising downtime and the logistics footprint through monitoring deterioration of component conditions. This book presents new methods of prognosis and reasoning. Data Analytics techniques have been used for prognostics Vehicle Level Health Assessment through Integrated Operational Scalable Prognostic Reasoners.
| Autorius: | Faisal Khan |
| Leidėjas: | LAP LAMBERT Academic Publishing |
| Išleidimo metai: | 2016 |
| Knygos puslapių skaičius: | 136 |
| ISBN-10: | 3659895199 |
| ISBN-13: | 9783659895197 |
| Formatas: | 220 x 150 x 9 mm. Knyga minkštu viršeliu |
| Kalba: | Anglų |
Parašykite atsiliepimą apie „Data Analytics and Machine Learning for Prognostics and Reasoning: Aircraft Vehicle Level Reasoning System (VLRS)“
