TY  - GEN
SN  - 2576-2370
UR  - https://doi.org/10.1109/CDC.2018.8618966
PB  - IEEE
ID  - discovery10060824
N2  - In this paper, a fast-convergent fault detection and
isolation architecture is proposed for linear MIMO continuoustime systems. By exploiting a system decomposition technique and making use of kernel-based deadbeat estimators, the state variables can be estimated in a non-asymptotic way. Estimation residuals are then defined to detect the occurrence of a fault and identify the occurring fault function after fault detection. In the noisy scenario, thresholds are defined for the
residual to distinguish the effect of the noise from that of the fault. Numerical examples are included to characterize the effectiveness of the proposed FDI architecture.
KW  - Fault detection

KW  - 
Estimation

KW  - 
Kernel

KW  - 
Mathematical model

KW  - 
Fault diagnosis

KW  - 
Convergence

KW  - 
Noise measurement
A1  - Li, P
A1  - Boem, F
A1  - Pin, G
A1  - Parisini, T
EP  - 5549
Y1  - 2019///
AV  - public
SP  - 5544
TI  - Fast-convergent Fault Detection and Isolation in an Uncertain Scenario
N1  - This version is the author accepted manuscript. For information on re-use, please refer to the publisher?s terms and conditions.
ER  -