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Detection of Structural Abnormalities Using Neural NetsThis paper describes a feed-forward neural net approach for detection of abnormal system behavior based upon sensor data analyses. A new dynamical invariant representing structural parameters of the system is introduced in such a way that any structural abnormalities in the system behavior are detected from the corresponding changes to the invariant.
Document ID
20060036115
Acquisition Source
Jet Propulsion Laboratory
Document Type
Preprint (Draft being sent to journal)
External Source(s)
Authors
Zak, M.
Maccalla, A.
Daggumati, V.
Gulati, S.
Toomarian, N.
Date Acquired
August 23, 2013
Publication Date
January 1, 1996
Subject Category
Cybernetics, Artificial Intelligence And Robotics
Distribution Limits
Public
Copyright
Other
Keywords
abnormal system behavior system behavior sensor data analyses

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