| タイトル | Vehicle-Level Reasoning Systems: Integrating System-Wide Data to Estimate the Instantaneous Health State |
| 本文（外部サイト） | http://hdl.handle.net/2060/20140008301 |
| 著者（英） | Mylaraswmay, Dinkar; Srivastava, Ashok N.; Cooper, Eric G.; Mah, Robert W. |
| 著者所属（英） | NASA Ames Research Center |
| 発行日 | 2011-01-01 |
| 言語 | eng |
| 内容記述 | At the aircraft level, a Vehicle-Level Reasoning System (VLRS) can be developed to provide aircraft with at least two significant capabilities: improvement of aircraft safety due to enhanced monitoring and reasoning about the aircrafts health state, and also potential cost savings by enabling Condition Based Maintenance (CBM). Along with the benefits of CBM, an important challenge facing aviation safety today is safeguarding against system and component failures and malfunctions. Faults can arise in one or more aircraft subsystem their effects in one system may propagate to other subsystems, and faults may interact. |
| NASA分類 | Aeronautics (General) |
| レポートNO | ARC-E-DAA-TN3617 |
| 権利 | Copyright, Distribution as joint owner in the copyright |
| URI | https://repository.exst.jaxa.jp/dspace/handle/a-is/80316 |
