International audienceIn this paper we consider the diagnosis of intermittent and permanent faults in discrete event systems. We present a logic based modeling approach associated with conditional preferences in order to produce a single diagnosis at each time step. Like all incomplete diagnosis approaches, ours is subject to deadlocks between the system and its diagnoser. In this paper, we address the detection of such deadlocks at design time with the rich semantic model-checker ELECTRUM
Failure diagnosis in large and complex systems is a critical task. In the realm of discrete event sy...
International audienceComplex technical systems usually show a dynamic behavior that is often conven...
In this paper we present a language-based fault diagnosis framework for both permanent and intermitt...
International audienceIn this paper we consider the diagnosis of intermittent and permanent faults i...
National audienceIn this paper we consider the diagnosis of intermittent and permanent faults in dis...
The diagnosis of “intermittent” faults in dynamic systems modeled as discrete event systems is consi...
Fault diagnosis in discrete event systems is studied using a state-based framework. Faults can be ei...
AbstractAlmost all work on model-based diagnosis (MBD) potentially presumes faults are persistent an...
Model-based diagnosis of discrete-event systems (DESs) generates a set of candidates upon the recept...
International audienceThis paper concerns the problem of diagnosing the occurrence of permanent faul...
grantor: University of TorontoA framework for on-line passive fault diagnosis in discrete-...
Almost all approaches to model-based diagnosis presume that the system being diagnosed behaves non-i...
The basic motivation for the research presented in this article is the fact that things go wrong. Wi...
Since its appearance in AI, model-based diagnosis is intrinsically set-oriented. Given a sequence of...
In this paper, we are interested in the diagnosis of discrete event systems modeled by finite transi...
Failure diagnosis in large and complex systems is a critical task. In the realm of discrete event sy...
International audienceComplex technical systems usually show a dynamic behavior that is often conven...
In this paper we present a language-based fault diagnosis framework for both permanent and intermitt...
International audienceIn this paper we consider the diagnosis of intermittent and permanent faults i...
National audienceIn this paper we consider the diagnosis of intermittent and permanent faults in dis...
The diagnosis of “intermittent” faults in dynamic systems modeled as discrete event systems is consi...
Fault diagnosis in discrete event systems is studied using a state-based framework. Faults can be ei...
AbstractAlmost all work on model-based diagnosis (MBD) potentially presumes faults are persistent an...
Model-based diagnosis of discrete-event systems (DESs) generates a set of candidates upon the recept...
International audienceThis paper concerns the problem of diagnosing the occurrence of permanent faul...
grantor: University of TorontoA framework for on-line passive fault diagnosis in discrete-...
Almost all approaches to model-based diagnosis presume that the system being diagnosed behaves non-i...
The basic motivation for the research presented in this article is the fact that things go wrong. Wi...
Since its appearance in AI, model-based diagnosis is intrinsically set-oriented. Given a sequence of...
In this paper, we are interested in the diagnosis of discrete event systems modeled by finite transi...
Failure diagnosis in large and complex systems is a critical task. In the realm of discrete event sy...
International audienceComplex technical systems usually show a dynamic behavior that is often conven...
In this paper we present a language-based fault diagnosis framework for both permanent and intermitt...