Failure diagnosis in large and complex systems is a critical and challenging task. In the realm of model based diagnosis on discrete event systems, computing a failure diagnosis means computing the set of system behaviours that could explain observations. Depending on the diagnosed system, such behaviours can be numerous, so that a problem of representing them is induced. The paper discusses about this problem and presents a way of representing a diagnosis by the use of a partial order reduction technique
In this paper, we are interested in the diagnosis of discrete event systems modeled by finite transi...
grantor: University of TorontoA framework for on-line passive fault diagnosis in discrete-...
Fault diagnosis of discrete-event systems (DESs) has received a lot of attention in industry and aca...
Failure diagnosis in large and complex systems is a critical task. In the realm of discrete event sy...
Diagnostic methods for engineering systems are typically model-based: functional and/or fault models...
The basic motivation for the research presented in this article is the fact that things go wrong. Wi...
The basic motivation for this thesis is the fact that things go wrong. With the grow-ing complexity ...
This chapter addresses the problem of diagnosing complex embedded discrete-event systems. Given a fl...
Failure diagnosis in industrial systems is a crucial and challenging task. Accurate and timely diagn...
International audienceComplex technical systems usually show a dynamic behavior that is often conven...
As many industrial systems become complex, it is very difficult to identify the cause of failures. T...
International audienceIn this paper, we are interested in the diagnosis of discrete-event systems mo...
Discrete Event Systems: Diagnosis and Diagnosability addresses the problem of fault diagnosis of Dis...
The hypothesis space approach to model-based diagnosis (MBD) of discrete-event systems (DESs) finds ...
International audienceIn this paper, we are interested in the diagnosis of discrete event systems mo...
In this paper, we are interested in the diagnosis of discrete event systems modeled by finite transi...
grantor: University of TorontoA framework for on-line passive fault diagnosis in discrete-...
Fault diagnosis of discrete-event systems (DESs) has received a lot of attention in industry and aca...
Failure diagnosis in large and complex systems is a critical task. In the realm of discrete event sy...
Diagnostic methods for engineering systems are typically model-based: functional and/or fault models...
The basic motivation for the research presented in this article is the fact that things go wrong. Wi...
The basic motivation for this thesis is the fact that things go wrong. With the grow-ing complexity ...
This chapter addresses the problem of diagnosing complex embedded discrete-event systems. Given a fl...
Failure diagnosis in industrial systems is a crucial and challenging task. Accurate and timely diagn...
International audienceComplex technical systems usually show a dynamic behavior that is often conven...
As many industrial systems become complex, it is very difficult to identify the cause of failures. T...
International audienceIn this paper, we are interested in the diagnosis of discrete-event systems mo...
Discrete Event Systems: Diagnosis and Diagnosability addresses the problem of fault diagnosis of Dis...
The hypothesis space approach to model-based diagnosis (MBD) of discrete-event systems (DESs) finds ...
International audienceIn this paper, we are interested in the diagnosis of discrete event systems mo...
In this paper, we are interested in the diagnosis of discrete event systems modeled by finite transi...
grantor: University of TorontoA framework for on-line passive fault diagnosis in discrete-...
Fault diagnosis of discrete-event systems (DESs) has received a lot of attention in industry and aca...