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Real-time sensor data validationThis report describes the status of an on-going effort to develop software capable of detecting sensor failures on rocket engines in real time. This software could be used in a rocket engine controller to prevent the erroneous shutdown of an engine due to sensor failures which would otherwise be interpreted as engine failures by the control software. The approach taken combines analytical redundancy with Bayesian belief networks to provide a solution which has well defined real-time characteristics and well-defined error rates. Analytical redundancy is a technique in which a sensor's value is predicted by using values from other sensors and known or empirically derived mathematical relations. A set of sensors and a set of relations among them form a network of cross-checks which can be used to periodically validate all of the sensors in the network. Bayesian belief networks provide a method of determining if each of the sensors in the network is valid, given the results of the cross-checks. This approach has been successfully demonstrated on the Technology Test Bed Engine at the NASA Marshall Space Flight Center. Current efforts are focused on extending the system to provide a validation capability for 100 sensors on the Space Shuttle Main Engine.
Document ID
19940028593
Acquisition Source
Legacy CDMS
Document Type
Contractor Report (CR)
Authors
Bickmore, Timothy W. (GenCorp Aerojet Sacramento, CA, United States)
Date Acquired
September 6, 2013
Publication Date
April 1, 1994
Subject Category
Spacecraft Propulsion And Power
Report/Patent Number
E-8672
NASA-CR-195295
NAS 1.26:195295
Accession Number
94N33099
Funding Number(s)
CONTRACT_GRANT: NAS3-25883
PROJECT: RTOP 584-03-11
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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