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Comparison of two distributed fault diagnosis approaches based on Binary Integer Linear Programming (BILP) optimization

Author
Tasken, E.; Puig, V.
Type of activity
Presentation of work at congresses
Name of edition
29th International Workshop on Principles of Diagnosis
Date of publication
2018
Presentation's date
2018-08-28
Book of congress proceedings
Proceedings of the 29th International Workshop on Principles of Diagnosis
First page
1
Last page
8
Publisher
CEUR-WS.org
Project funding
SCAV DPI2017- 88403-R
Repository
http://ceur-ws.org/Vol-2289/paper19.pdf Open in new window
http://hdl.handle.net/2117/129466 Open in new window
Abstract
Two distributed fault diagnosis approaches were compared, by analogy, to determine which is more efficient regarding computational complexity. The first approach considered all “locally computed” global and compound sets with minimal cardinality using a heuristic optimization method while minimizing subsystems interactions (communication). The second approach aimed at obtaining minimal coupled MSOs for minimizing the number of common links between MSOs by adding constraints in already existi...
Citation
Tasken, E.; Puig, V. Comparison of two distributed fault diagnosis approaches based on Binary Integer Linear Programming (BILP) optimization. A: International Workshop on Principles of Diagnosis. "Proceedings of the 29th International Workshop on Principles of Diagnosis". CEUR-WS.org, 2018, p. 1-8.
Group of research
CS2AC-UPC - Supervision, Safety and Automatic Control
SAC - Advanced Control Systems

Participants