Paper published in a book (Scientific congresses, symposiums and conference proceedings)
Model-based Optimal Sensor Placement Approaches to Fuel Cell Stack System Fault Diagnosis
Sarrate, Ramon; Nejjari, Fatiha; Rosich, Albert
2012In Fault Detection, Supervision and Safety of Technical Processes, Volume# 8 | Part# 1
Peer reviewed
 

Files


Full Text
0233.pdf
Author postprint (175.64 kB)
Download

All documents in ORBilu are protected by a user license.

Send to



Details



Keywords :
Fault diagnosis; Sensor placement; Fuel Cell Systems
Abstract :
[en] The problem of optimal sensor placement for FDI consists in determining the set of sensors that minimizes a pre-defined cost function satisfying at the same time a pre-established set of FDI specifications for a given set of faults. This paper recalls three model-based optimal sensor location approaches: an Incremental search, a Heuristic search and a Binary Integer Linear Programming (BILP) formulation. The main contribution of this paper is a comparative study that addresses efficiency, flexibility and other issues. The performance of the approaches is demonstrated by an application to a fuel cell stack system.
Disciplines :
Computer science
Identifiers :
UNILU:UL-CONFERENCE-2012-304
Author, co-author :
Sarrate, Ramon;  Universitat Politècnica de Catalunya > ESAII - SAC
Nejjari, Fatiha;  Universitat Politècnica de Catalunya > ESAII - SAC
Rosich, Albert ;  Universitat Politècnica de Catalunya > ESAII - SAC
Language :
English
Title :
Model-based Optimal Sensor Placement Approaches to Fuel Cell Stack System Fault Diagnosis
Publication date :
2012
Event name :
8th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Process, Safeprocess’12
Event place :
Mexico City, Mexico
Event date :
from 29-08-2012 to 31-08-2012
Audience :
International
Main work title :
Fault Detection, Supervision and Safety of Technical Processes, Volume# 8 | Part# 1
ISBN/EAN :
978-3-902823-09-0
Pages :
96-101
Peer reviewed :
Peer reviewed
Commentary :
8th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Process, Safeprocess’12
Available on ORBilu :
since 30 July 2013

Statistics


Number of views
77 (13 by Unilu)
Number of downloads
176 (2 by Unilu)

Scopus citations®
 
12
Scopus citations®
without self-citations
7

Bibliography


Similar publications



Contact ORBilu