Fault diagnosis for the Space Shuttle main engine

1992 ◽  
Vol 15 (2) ◽  
pp. 384-389 ◽  
Author(s):  
Ahmet Duyar ◽  
Walter Merrill
Keyword(s):  
Fault Diagnosis ◽  
Space Shuttle ◽  
Main Engine

Space Shuttle Main Engine modal test correlation and optimization

1993 ◽  
Author(s):  
ROBERT STEC ◽  
VINEY GUPTA ◽  
LISA CHANEY ◽  
JOHN HAWORTH
Keyword(s):  
Space Shuttle ◽  
Modal Test ◽  
Main Engine ◽  
Test Correlation

scholarly journals Experimental evaluation of an advanced Space Shuttle Main Engine hot-gas manifold design concept

1984 ◽  
Author(s):  
D. PELACCIO ◽  
F. LEPORE ◽  
G. OCONNOR ◽  
G. RAO ◽  
G. RATEKIN ◽  
...  
Keyword(s):  
Experimental Evaluation ◽  
Space Shuttle ◽  
Design Concept ◽  
Hot Gas ◽  
Main Engine

Model-based diagnosis of the space shuttle main engine

1992 ◽  
Vol 6 (3) ◽  
pp. 131-148 ◽  
Author(s):  
Martin O. Hofmann ◽  
Thomas L. Cost ◽  
Michael Whitley
Keyword(s):  
Space Shuttle ◽  
Diagnostic System ◽  
End User ◽  
Reasoning Process ◽  
Domain Experts ◽  
Model Based ◽  
Knowledge Based ◽  
Modeling Analysis ◽  
Engine Design ◽  
Main Engine

The process of reviewing test data for anomalies after a firing of the Space Shuttle Main Engine (SSME) is a complex, time-consuming task. A project is under way to provide the team of SSME experts with a knowledge-based system to assist in the review and diagnosis task. A model-based approach was chosen because it can be adapted to changes in engine design, is easier to maintain, and can be explained more easily. A complex thermodynamic fluid system like the SSME introduces problems during modeling, analysis, and diagnosis which have as yet been insufficiently studied. We developed a qualitative constraint-based diagnostic system inspired by existing qualitative modeling and constraint-based reasoning methods which addresses these difficulties explicitly. Our approach combines various diagnostic paradigms seamlessly, such as the model-based and heuristic association-based paradigms, in order to better approximate the reasoning process of the domain experts. The end-user interface allows expert users to actively participate in the reasoning process, both by adding their own expertise and by guiding the diagnostic search performed by the system.

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