Publication Date:
2019-06-28
Description:
The objective of the advanced detection, isolation, and accommodation (ADIA) program is to improve the overall demonstrated reliability of digital electronic control systems for turbine engines. For this purpose, algorithms were developed which detect, isolate, and accommodate sensor failures using analytical redundancy. Preliminary results of a full scale engine demonstration of the ADIA algorithm are presented. Minimum detectable levels of sensor failures for an F100 turbofan engine control system are determined and compared to those obtained during a previous evaluation of this algorithm using a real-time hybrid computer simulation of the engine.
Keywords:
ELECTRONICS AND ELECTRICAL ENGINEERING
Type:
NASA-TM-89880
,
E-3561
,
NAS 1.15:89880
,
AIAA PAPER 87-2259
Format:
application/pdf