Sciweavers

TSMC
2010
12 years 11 months ago
Probabilistic Model-Based Diagnosis: An Electrical Power System Case Study
Abstract--We present in this paper a case study of the probabilistic approach to model-based diagnosis. Here, the diagnosed system is a real-world electrical power system (EPS), i....
Ole J. Mengshoel, Mark Chavira, Keith Cascio, Scot...
AI
2002
Springer
13 years 4 months ago
On the relationship between model-based debugging and program slicing
Program slicing is a general, widely-used, and accepted technique applicable to different software engineering tasks including debugging, whereas model-based diagnosis is an AI te...
Franz Wotawa
AI
2004
Springer
13 years 4 months ago
Hierarchical model-based diagnosis based on structural abstraction
al Abstraction Luca Chittaro and Roberto Ranon Department of Mathematics and Computer Science, University of Udine, via delle Scienze 206, 33100 Udine, Italy ion has been advocat...
Luca Chittaro, Roberto Ranon
AIA
2006
13 years 6 months ago
Speeding Up Model-based Diagnosis by a Heuristic Approach to Solving SAT
Model-based diagnosis of technical systems requires both a simulation machinery and a logic calculus. The former is responsible for the system's behavior analysis, the latter...
Benno Stein, Oliver Niggemann, Theodor Lettmann
ECAI
2008
Springer
13 years 6 months ago
Combining Abduction with Conflict-based Diagnosis
Abstract. Conflict-based diagnosis is a recently proposed probabilistic method for model-based diagnosis, inspired by consistencybased diagnosis, that uses a measure of data confli...
Ildikó Flesch, Peter J. F. Lucas
CONCUR
2008
Springer
13 years 6 months ago
Unfolding-Based Diagnosis of Systems with an Evolving Topology
Abstract. We propose a framework for model-based diagnosis of systems with mobility and variable topologies, modelled as graph transformation systems. Generally speaking, model-bas...
Paolo Baldan, Thomas Chatain, Stefan Haar, Barbara...
AAAI
2007
13 years 6 months ago
A Spectrum of Symbolic On-line Diagnosis Approaches
This paper deals with the monitoring and diagnosis of large discrete-event systems. The problem is to determine, online, all faults and states that explain the flow of observatio...
Anika Schumann, Yannick Pencolé, Sylvie Thi...
ESE
1990
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13 years 8 months ago
Characterizing Diagnoses
Most approaches to model-based diagnosis describe a diagnosis for a system as a set of failing components that explains the symptoms. In order to characterize the typically very l...
Johan de Kleer, Alan K. Mackworth, Raymond Reiter
ECAI
2000
Springer
13 years 9 months ago
Diagnosis and Diagnosability Analysis Using PEPA
In this paper we propose the use of process algebras as powerful frameworks for model-based diagnosis. In fact, they provide machinery and tools for building component-oriented mod...
Luca Console, Claudia Picardi, Marina Ribaudo
KI
2001
Springer
13 years 9 months ago
DiKe - A Model-Based Diagnosis Kernel and Its Application
This paper describes the DiKe model-based diagnosis framework, which incorporates multiple diagnosis engines, multiple user-level system description languages, a theorem prover, an...
Gerhard Fleischanderl, Thomas Havelka, Herwig Schr...