DocumentCode
2926265
Title
Systems FDI Using Frequency Techniques Implemented with NN´s
Author
Ferreiro Garcia, R. ; Perez Castelo, J. ; Pinon Pazos, A. ; Calvo Rolle, Jose Luis
Author_Institution
Univ. da Coruna, A Coruna
fYear
2006
fDate
24-26 July 2006
Firstpage
1
Lastpage
6
Abstract
Most of non-linear type 1 and type 2 control systems suffers from lack of detectability when model based techniques are applied on FDI tasks. This research work presents an strategy based on frequency techniques which includes massive neural networks based functional approximation on a parity space approach. As consequence of such technique on non-linear plants of types one and two, useful results were achieved.
Keywords
fault diagnosis; function approximation; neural nets; nonlinear control systems; detectability; frequency techniques; functional approximation; model based techniques; neural networks; nonlinear control systems; parity space approach; systems FDI; Actuators; Backpropagation; Equations; Fault detection; Filters; Frequency; Neural networks; Observers; Redundancy; Sequential analysis; Backpropagation; Conjugate gradient; Fault detection; Fault isolation; Harmonic balance; Neural Networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Automation Congress, 2006. WAC '06. World
Conference_Location
Budapest
Print_ISBN
1-889335-33-9
Type
conf
DOI
10.1109/WAC.2006.376016
Filename
4259932
Link To Document