Robust neural-network-based fault detection with sequential D-optimum bounded-error input design

Anna Akielaszek-Witczak; Beata Mrugalska; Vicenç Puig; Magdalena Wyrwicka

doi:10.1016/j.ifacol.2015.09.565

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Title

Robust neural-network-based fault detection with sequential D-optimum bounded-error input design

Authors

^{[ 1 ]} Katedra Ergonomii i Inżynierii Jakości, Wydział Inżynierii Zarządzania, Politechnika Poznańska | ^{[ 2 ]} Katedra Zarządzania Produkcją i Logistyki, Wydział Inżynierii Zarządzania, Politechnika Poznańska | ^{[ P ]} employee

Year of publication

2015

Published in

IFAC-PapersOnLine

Journal year: 2015 | Journal volume: vol. 48 | Journal number: iss. 21

Article type

scientific article

Publication language

english

Keywords

EN

neural networks
system identification
optimum experiment design
fault detection
robustness
bounded disturbances

Pages (from - to)

434 - 439

DOI

10.1016/j.ifacol.2015.09.565

Presented on

9th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes SAFEPROCESS, 2-4.09.2015, Paris, France

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