International audience— We claim that presenting a human operator in charge of repairing a faulty system with a small subset of observations relevant to the failure improves awareness and confidence of the operator. Consequently, we introduce the problem of finding a set of relevant observations (called the critical observations) that can be used to derive the same diagnosis as the full problem. We show how this problem can be solved and illustrate its benefits on a real diagnostic problem
This paper presents examples of the processes people use in generating qualitative solutions to comp...
Model-based diagnosis (MBD) is difficult to use in practice because it requires a model of the diagn...
The lack of robustness in current diagnostic sys-tems is an important research issue because it has ...
International audience— We claim that presenting a human operator in charge of repairing a faulty sy...
We claim that in scenarios involving a human operator with responsibility over systems being monitor...
We claim that in scenarios involving a human operator with responsibility over systems being monitor...
Diagnosis in the broadest sense is the determination of the cause and nature of behaviours or observ...
Fault diagnosis is the task of identifying a faulty component in a complex system using data collect...
Consistency-based diagnosis algorithms seek for explanations to unexpected observations in sys-tems....
International audienceFor critical systems design, the verification tasks play a crucial role. If ab...
Model-based diagnosis mechanism has the disadvantage of a high computational complexity. One way to ...
Functional redundancy techniques in diagnosis rely on models of a system to infer deviating system v...
We describe a manufacturing screening task, the diagnosis of defects on a computer board. Then we de...
Diagnosis is traditionally defined on a space of hypotheses (typically, all the combinations of zero...
Diagnosis is, in general, more than a mere passive reasoning task. It often requires to actively pro...
This paper presents examples of the processes people use in generating qualitative solutions to comp...
Model-based diagnosis (MBD) is difficult to use in practice because it requires a model of the diagn...
The lack of robustness in current diagnostic sys-tems is an important research issue because it has ...
International audience— We claim that presenting a human operator in charge of repairing a faulty sy...
We claim that in scenarios involving a human operator with responsibility over systems being monitor...
We claim that in scenarios involving a human operator with responsibility over systems being monitor...
Diagnosis in the broadest sense is the determination of the cause and nature of behaviours or observ...
Fault diagnosis is the task of identifying a faulty component in a complex system using data collect...
Consistency-based diagnosis algorithms seek for explanations to unexpected observations in sys-tems....
International audienceFor critical systems design, the verification tasks play a crucial role. If ab...
Model-based diagnosis mechanism has the disadvantage of a high computational complexity. One way to ...
Functional redundancy techniques in diagnosis rely on models of a system to infer deviating system v...
We describe a manufacturing screening task, the diagnosis of defects on a computer board. Then we de...
Diagnosis is traditionally defined on a space of hypotheses (typically, all the combinations of zero...
Diagnosis is, in general, more than a mere passive reasoning task. It often requires to actively pro...
This paper presents examples of the processes people use in generating qualitative solutions to comp...
Model-based diagnosis (MBD) is difficult to use in practice because it requires a model of the diagn...
The lack of robustness in current diagnostic sys-tems is an important research issue because it has ...