Use of autoassociative neural networks for sensor diagnostics

Use of autoassociative neural networks for sensor diagnostics

The new approach for sensor diagnostics is presented. The approach, Enhanced Autoassociative Neural Networks (E-AANN), adds enhancement to Autoassociative Neural Networks (AANN) developed by Kramer in 1992. This enhancement allows AANN to identify faulty sensors. E-AANN uses a secondary optimization...

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Bibliographic Details
Main Author:	Najafi, Massieh
Other Authors:	Culp, Charles
Format:	Others
Language:	en_US
Published:	Texas A&M University 2005
Subjects:	Sensor Diagnostics Auto Associative Neural Network Fault Detection Intelligent Systems Neural Network Control
Online Access:	http://hdl.handle.net/1969.1/1392

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