Fault diagnosis; Sensor placement; Fuel Cell Systems
Abstract :
[en] This paper presents the application of a new methodology for Fault Detection and Isolation (FDI) to a Fuel Cell System. The work is devoted to find an optimal set of sensors for model-based FDI. The novelty is that binary integer linear programming (BILP) is used in the optimization formulation, leading to a reformulation of the detectability and isolability specifications as linear inequality constraints. The approach has been successfully applied to a Fuel Cell System.
Disciplines :
Computer science
Identifiers :
UNILU:UL-CONFERENCE-2012-277
Author, co-author :
Nejjari, Fatiha; Universitat Politècnica de Catalunya > ESAII - SAC
Sarrate, Ramon; Universitat Politècnica de Catalunya > ESAII - SAC
Rosich, Albert ; Universitat Politècnica de Catalunya > ESAII - SAC
Language :
English
Title :
Optimal Sensor Placement For Fuel Cell System Diagnosis using BILP Formulation
Publication date :
2010
Event name :
18th Mediterranean Conference on Control and Automation (MED)
Event place :
Marrakech, Morocco
Event date :
from 23-06-2010 to 25-06-2010
Audience :
International
Main work title :
Control & Automation (MED), 2010 18th Mediterranean Conference on
ISBN/EAN :
978-1-4244-8091-3
Pages :
1296 - 1301
Peer reviewed :
Peer reviewed
Commentary :
18th Mediterranean Conference on Control and Automation (MED)
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