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
-
0000-0002-5149-5918
- Other
- connected with university
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.