Abstract
|
|
---|---|
In this paper a new method for fault isolation in a class of continuous-time stochastic dynamical systems is proposed. The method is framed in the context of model-based analytical redundancy, consisting in the generation of a residual signal by means of a diagnostic observer, for its posterior analysis. Once a fault has been detected, and assuming some basic a priori knowledge about the set of possible failures in the plant, the isolation task is then formulated as a type of on-line statistical classification problem. The proposed isolation scheme employs in parallel different hypotheses tests on a statistic of the residual signal, one test for each possible fault. This isolation method is characterized by deriving for the unidimensional case, a sufficient isolability condition as well as an upperbound of the probability of missed isolation. Simulation examples illustrate the applicability of the proposed scheme. | |
International
|
Si |
JCR
|
Si |
Title
|
Annual Reviews in Control |
ISBN
|
1367-5788 |
Impact factor JCR
|
1,29 |
Impact info
|
Categoría: Automation & Control Systems Posición: 27/59 |
Volume
|
37 |
|
10.1016/J.ARCONTROL.2013.03.002 |
Journal number
|
|
From page
|
43 |
To page
|
55 |
Month
|
MAYO |
Ranking
|
Categoría: Automation & Control Systems Posición: 27/59 |