Aircraft engine diagnostic methods are reviewed. The role of computer-aided diagnostic procedures for current and future engines is discussed from the aspects of performance monitoring, trending, and fault detection/isolation. Development of advanced maximum likelihood or regression algorithms for each of these is presented. A methodology is developed for applying these algorithms to models derived from engine test stand or flight data. Specific computational results are given for a high performance turbofan engine. (Peters)
Advanced fault detection and isolation methods for aircraft turbine engines
Fortgeschrittene Fehlererkennung und Abschaltmethoden fuer Flugzeugturbinen
US Government Reports ; Feb ; 1-99
1978
99 Seiten
Report
English
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