| タイトル | Enhanced Self Tuning On-Board Real-Time Model (eSTORM) for Aircraft Engine Performance Health Tracking |
| 本文（外部サイト） | http://hdl.handle.net/2060/20080032604 |
| 著者（英） | Volponi, Al; Simon, Donald L. |
| 著者所属（英） | Pratt and Whitney Aircraft |
| 発行日 | 2008-07-01 |
| 言語 | eng |
| 内容記述 | A key technological concept for producing reliable engine diagnostics and prognostics exploits the benefits of fusing sensor data, information, and/or processing algorithms. This report describes the development of a hybrid engine model for a propulsion gas turbine engine, which is the result of fusing two diverse modeling methodologies: a physics-based model approach and an empirical model approach. The report describes the process and methods involved in deriving and implementing a hybrid model configuration for a commercial turbofan engine. Among the intended uses for such a model is to enable real-time, on-board tracking of engine module performance changes and engine parameter synthesis for fault detection and accommodation. |
| NASA分類 | Aircraft Propulsion and Power |
| レポートNO | E-16543
NASA/CR-2008-215272
FR-26751 |
| 権利 | No Copyright |
| URI | https://repository.exst.jaxa.jp/dspace/handle/a-is/255469 |
