Marcu, Teodor; Köppen-Seliger, Birgit; Frank, Paul M.; Ding, Steven X.:
Dynamic Functional-Link Neural Networks Genetically Evolved Applied to Fault Diagnosis
In: Proc. of ECC’03 - Cambridge, UK, 2003
2003Buchaufsatz/Kapitel in Sammelwerk
TechnikFakultät für Ingenieurwissenschaften » Elektrotechnik und Informationstechnik » Automatisierungstechnik und komplexe Systeme
Titel:
Dynamic Functional-Link Neural Networks Genetically Evolved Applied to Fault Diagnosis
Autor*in:
Marcu, TeodorUDE
LSF ID
2884
Sonstiges
der Hochschule zugeordnete*r Autor*in
;Köppen-Seliger, BirgitUDE
LSF ID
1496
Sonstiges
der Hochschule zugeordnete*r Autor*in
;Frank, Paul M.;Ding, Steven X.UDE
GND
134302427
LSF ID
2347
ORCID
0000-0002-5149-5918ORCID iD
Sonstiges
der Hochschule zugeordnete*r Autor*in
Erschienen in
Proc. of ECC’03
Erscheinungsort:
Cambridge, UK
Erscheinungsjahr:
2003

Abstract:

The paper addresses the development of neural observer schemes for process fault diagnosis. The design is based on a generalised functional-link neural network with internal dynamics. An evolutionary search of genetic type and multi- objective optimisation in the Pareto-sense is used to determine the optimal architecture of the dynamic network. Symptoms characterising the current state of the process are obtained based on prediction errors. The latter are further evaluated by a static artificial network. Experimental results regarding the detection and isolation of artificial sensor faultsin an evaporation station from a sugar factory illustrate the approach.