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, pp. 1829
2005book article/chapter in collection
TechnologyFaculty of Engineering » Engineering and Information Technology » Automatic Control and Complex Systems
Title:
Subspace Method Aided Data-Driven Design of Observer Based Fault Detection Systems
Author:
Ding, Steven X.UDE
GND
134302427
LSF ID
2347
ORCID
0000-0002-5149-5918ORCID iD
Other
connected with university
;Zhang, Ping;Huang, Biao;Ding, Eve L.
DOI
10.3182/20050703-6-CZ-1902.01830
Appears in
Proc. of the 16th IFAC World Congress : (04.07. – 08.07.2005)
Place of publication:
Prague, Czech Republic
Year of publication:
2005
in:
pp. 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.