Autor:

Patan, Krzysztof ; Witczak, Marcin ; Korbicz, Józef (1951- )

Współtwórca:

Korbicz, Józef (1951- ) - ed. ; Sauter, Dominique - ed.

Tytuł:

Towards robustness in neural network based fault diagnosis

Podtytuł:

.

Tytuł publikacji grupowej:

AMCS, volume 18 (2008)

Temat i słowa kluczowe:

fault diagnosis ; robustness ; dynamic neural networks ; GMDH neural network

Abstract:

Challenging design problems arise regularly in modern fault diagnosis systems. Unfortunately, classical analytical techniques often cannot provide acceptable solutions to such difficult tasks. This explains why soft computing techniques such as neural networks become more and more popular in industrial applications of fault diagnosis. ; Taking into account the two crucial aspects, i.e., the nonlinear behaviour of the system being diagnosed as well as the robustness of a fault diagnosis scheme with respect to modelling uncertainty, two different neural network based schemes are described and carefully discussed. The final part of the paper presents an illustrative example regarding the modelling and fault diagnosis of a DC motor, which shows the performance of the proposed strategy.

Wydawca:

Zielona Góra: Uniwersytet Zielonogórski

Data wydania:

2008

Typ zasobu:

artykuł

DOI:

10.2478/v10006-008-0039-2

Strony:

443-454

Źródło:

AMCS, volume 18, number 4 (2008) ; kliknij tutaj, żeby przejść

Jezyk:

eng

Licencja CC BY 4.0:

kliknij tutaj, żeby przejść

Prawa do dysponowania publikacją:

Biblioteka Uniwersytetu Zielonogórskiego