Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Birgit Köppen-Seliger"'
Publikováno v:
Lecture Notes in Control and Information Sciences-Proceedings ISBN: 9783030853174
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a2c391ec8b93ac852abacf4c47c73faa
https://doi.org/10.1007/978-3-030-85318-1_39
https://doi.org/10.1007/978-3-030-85318-1_39
Autor:
Paul M. Frank, Birgit Köppen-Seliger
Publikováno v:
Fusion of Neural Networks, Fuzzy Systems, and Genetic Algorithms ISBN: 9780367811464
Fusion of Neural Networks, Fuzzy Systems, and Genetic Algorithms
Fusion of Neural Networks, Fuzzy Systems, and Genetic Algorithms
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ad823ea57d85a60dd1cea9e379b93bda
https://doi.org/10.1201/9780367811464-7
https://doi.org/10.1201/9780367811464-7
Publikováno v:
Control Engineering Practice. 16:192-213
The contribution investigates the design of a fault detection system for a hydraulic looper from a hot rolling mill plant. A genetically evolved dynamic functional-link neural network is used to identify different relationships between process variab
Autor:
Martin Albert, Siegfried Latzel, Teodor Marcu, Sylviane Gentil, Michele Capobianco, Birgit Köppen-Seliger
Publikováno v:
IFAC Proceedings Volumes. 36:447-452
In this contribution an European research project funded by the European Commission in the framework of the IST programme is introduced. The goal is to present the basic concepts, innovations and solutions of the project "Multi-Agentsbased Diagnostic
Publikováno v:
IFAC Proceedings Volumes. 35:293-298
In this contribution two European research projects funded by the European Commission in the framework of the IST programme are introduced. The goal is to present the basic ideas and concepts of the projects “Multi-Agents-based Diagnostic Data Acqu
Publikováno v:
IFAC Proceedings Volumes. 33:17-28
In this paper current developments in the FDI theory are reviewed. Attention is focused upon the analytical approaches that make use of quantitative models, knowledge based approaches using qualitative models as well as approaches using computational
Publikováno v:
IFAC Proceedings Volumes. 30:701-706
Model-based approaches in fault detection and isolation suffer from the fact that under real conditions no accurate mathematical model of a nonlinear system of interest can be obtained. One solution of this problem is to replace the mathematical or h
Autor:
Birgit Köppen-Seliger, Paul M. Frank
Publikováno v:
IFAC Proceedings Volumes. 29:1-12
This paper is intended to give a survey on the state of the art of model-based fault diagnosis for dynamic processes employing artificial intelligence approaches. Emphasis is placed upon the use of fuzzy models for residual generation and fuzzy logic
Autor:
Birgit Köppen-Seliger, Paul M. Frank
Publikováno v:
IFAC Proceedings Volumes. 29:6389-6394
In this contribution neural networks form the basis for model-based fault diagnosis schemes. Three different possibilities to employ neural networks for supervision tasks are discussed. In most existing schemes the steps of residual generation and re
Publikováno v:
IFAC Proceedings Volumes. 27:545-550
In this contribution an identification based and an observer based fault detection and isolation approach are compared at the benchmark problem of the inverted pendulum. The key ideas of both approaches are explained in general and the particular asp