TY  - GEN
TI  - Reducing false alarm rates in observer-based distributed fault detection schemes by analyzing moving averages
EP  - 479
AV  - public
SP  - 473
Y1  - 2018///
N1  - This version is the author accepted manuscript. For information on re-use, please refer to the publisher?s terms and conditions.
ID  - discovery10051702
N2  - In this paper, we first analyze the possible limitations of a model-based fault detection method grounded on a partition-based distributed Luenberger observer. The corresponding fault detection test consists of comparing, for each time instant, the output prediction error with a suitable bound, computed analytically in a distributed and scalable way As a result, we highlight the presence of an often restrictive tradeoff between false-alarm and missed-detection rates. To overcome this significant drawback, we resort to a method based on the analysis of moving averages of residuals. Tests on an academic case study show the effectiveness of this approach.
SN  - 1474-6670
PB  - Elsevier
UR  - https://doi.org/10.1016/j.ifacol.2018.09.619
KW  - Model-based distributed fault detection
KW  -  partition-based observers
A1  - Attuati, S
A1  - Farina, M
A1  - Boem, F
A1  - Parisini, T
ER  -