Paper Info
Title
Introducing deviations and multiple abstraction levels in the functional diagnosis of fluid transfer systems
Abstract
We have recently experimented the FDef (Functional Diagnosis with efforts and flows) approach on a real-world problem[1] (Chittaro, L., Fabbri, R. and López Cortés, J. Functional diagnosis goes to the sea: applying FDef to the heavy fuel oil transfer system of a ship. In Proceedings of FLAIRS-96, Key West, FL, USA. Florida Artificial Intelligence Research Society, 1996, pp. 419–423), i.e. the diagnosis of multiple faults in the heavy fuel oil transfer system (HFOTS) of a modern container ship. This paper builds on that preliminary work, extending it in several directions by: (i) analysing its limitations; (ii) generalizing the proposed techniques from the specific HFOTS case to a wide class of hydraulic systems in the domain of Fluid Transfer Systems; (iii) significantly increasing the diagnostic capabilities of the approach by introducing representation and reasoning about deviations from nominal values; (iv) adopting a hierarchical organization for representing the functional model to improve efficiency and to reason at multiple levels of abstraction; and (v) providing a formal validation of the employed diagnostic knowledge.
Year
DOI
Venue
1998
10.1016/S0954-1810(97)10010-3
Artificial Intelligence in Engineering
Keywords
DocType
Volume
diagnosis,functional reasoning,model-based reasoning,functional modeling,fluid transfer systems,hydraulic systems
Journal
12
Issue
ISSN
Citations 
4
0954-1810
3
PageRank 
References 
Authors
0.52
6
3
Name
Order
Citations
PageRank
Luca Chittaro12083177.40
Roberto Ranon239233.19
Alfredo Soldati381.40