Ding, Steven X.; Zhang, Ping; Huang, Biao; Ding, Eve L.:
Subspace Method Aided Data-Driven Design of Observer Based Fault Detection Systems
In: Proc. of the 16th IFAC World Congress : (04.07. – 08.07.2005) - Prague, Czech Republic, 2005, S. 1829
2005Buchaufsatz/Kapitel in Sammelwerk
TechnikFakultät für Ingenieurwissenschaften » Elektrotechnik und Informationstechnik » Automatisierungstechnik und komplexe Systeme
Titel:
Subspace Method Aided Data-Driven Design of Observer Based Fault Detection Systems
Autor*in:
Ding, Steven X.UDE
GND
134302427
LSF ID
2347
ORCID
0000-0002-5149-5918ORCID iD
Sonstiges
der Hochschule zugeordnete*r Autor*in
;Zhang, Ping;Huang, Biao;Ding, Eve L.
DOI
10.3182/20050703-6-CZ-1902.01830
Erschienen in
Proc. of the 16th IFAC World Congress : (04.07. – 08.07.2005)
Erscheinungsort:
Prague, Czech Republic
Erscheinungsjahr:
2005
in:
S. 1829

Abstract:

This paper deals with the data-driven design of observer based FDI systems. The basic idea is to identify parity space and the related matrices, instead of a state space model of the process under consideration, directly from test data. The proposed method can be used for the data-driven design of parity space, observer and kalman filter based FDI systems.