Fault diagnosis for nonlinear systems using a bank of neural estimators (Articolo in rivista)

Type
Label
  • Fault diagnosis for nonlinear systems using a bank of neural estimators (Articolo in rivista) (literal)
Anno
  • 2003-01-01T00:00:00+01:00 (literal)
Alternative label
  • Alessandri A. 1 (2003)
    Fault diagnosis for nonlinear systems using a bank of neural estimators
    in Computers in industry
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Alessandri A. 1 (literal)
Pagina inizio
  • 271 (literal)
Pagina fine
  • 289 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 52 (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#descrizioneSinteticaDelProdotto
  • Pubblicazione su rivista internazionale Elsevier. (literal)
Note
  • ISI Web of Science (WOS) (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • 1 CNR (literal)
Titolo
  • Fault diagnosis for nonlinear systems using a bank of neural estimators (literal)
Abstract
  • An optimal diagnosis problem is cast according to a receding-horizon strategy. Plant, actuator, and sensor fault models are developed and parameters describing such faults are introduced for the purpose of modelling. The estimates of these parameters are made by using a nonlinear estimation technique that consists in minimizing an estimation cost function on line. The solution is obtained by means of a bank of filters designed via neural networks. Simulation results show the effectiveness of the approach. (literal)
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