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A study on diagnosability of space station ECLSSThe use is demonstrated of the Multigraph Architecture (MGA) for studies on the Environment Control and Life Support System (ECLSS). The objective was the following: (1) to create an updated set of models of the Potable Water Subsystem (PWS) by using the graphical model building tools of the Multigraph Programming Environment (MPE); (2) to derive a real time alarm simulator from the models; and (3) to demonstrate the effects of sensor allocation on the diagnosability of the PWS. This work may serve as a preliminary study for the detailed analysis of the sensor allocation and diagnosability problems in the ECLSS.
Document ID
19900017978
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Padalkar, S.
(Vanderbilt Univ. Nashville, TN, United States)
Blokland, W.
(Vanderbilt Univ. Nashville, TN, United States)
Sztipanovits, J.
(Vanderbilt Univ. Nashville, TN, United States)
Date Acquired
September 6, 2013
Publication Date
May 1, 1990
Publication Information
Publication: NASA, Marshall Space Flight Center, Fifth Conference on Artificial Intelligence for Space Applications
Subject Category
Man/System Technology And Life Support
Accession Number
90N27294
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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