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FAILURE BEHAVIOR IDENTIFICATION FOR A SPACE ANTENNA VIA NEURAL NETWORKS
 

Summary: FAILURE BEHAVIOR IDENTIFICATION FOR A SPACE ANTENNA
VIA NEURAL NETWORKS
Michcl A. Sartoi
David Taylo Research Center
Code 1941
BeteA Mayln 200845000
ABSTRACT
Using neural networks, a method for the failure behavior
identification of a space antenna model is investigatd. Ieproposed
method employs three ssage& If a fault is suspected by the firt stage
of fault detction, a diagnostic test is performed on the antenna. The
diagnostic tests results are used by the second and third stages to
identify which fault occurred and to diagnose the extent of the fault,
respectively. The frst stage uses a multi-layer perceptron, the second
uses a multi-layer perceptron and neural networks trained with the
quadratic optimization algorithm, a novel training procedure, and the
third stage uses back-propagation tained neural networks.
1 INTRODUCTION
In this paper, a method for the identification of failure behavior via
neural networks is presented. The medtod presented here is ilustrated

  

Source: Antsaklis, Panos - Department of Electrical Engineering, University of Notre Dame

 

Collections: Engineering