| タイトル | Performance and sensitivity analysis of the generalized likelihood ratio method for failure detection |
| 本文（外部サイト） | http://hdl.handle.net/2060/19770006818 |
| 著者（英） | Bueno, R. A. |
| 著者所属（英） | Massachusetts Inst. of Tech. |
| 発行日 | 1977-02-01 |
| 言語 | eng |
| 内容記述 | Results of the generalized likelihood ratio (GLR) technique for the detection of failures in aircraft application are presented, and its relationship to the properties of the Kalman-Bucy filter is examined. Under the assumption that the system is perfectly modeled, the detectability and distinguishability of four failure types are investigated by means of analysis and simulations. Detection of failures is found satisfactory, but problems in identifying correctly the mode of a failure may arise. These issues are closely examined as well as the sensitivity of GLR to modeling errors. The advantages and disadvantages of this technique are discussed, and various modifications are suggested to reduce its limitations in performance and computational complexity. |
| NASA分類 | STATISTICS AND PROBABILITY |
| レポートNO | 77N13761
ESL-R-706
NASA-CR-149272 |
| 権利 | No Copyright |
| URI | https://repository.exst.jaxa.jp/dspace/handle/a-is/183717 |
