International audienceThis paper is part I of a two part effort that is intended to present a framework of multi-faults diagnosis. Reiter [14] has proposed a consistency-based approach for multi-faults diagnosis. We extend his theory to deal with the dynamic and continuous systems and offer a necessary assumption and a formal demonstration. Multi-faults diagnosis is a partially observable problem because there is usually not enough information about faults. So the STRIPS, a classic technique of automated planning, is chosen to build the system model. It provides the reasoning ability for the multi-faults diagnosis when diagnosis is formalized as reasoning from effects to causes with causal knowledge
This thesis describes a diagnostic technique for explaining unanticipated modes of failure in contin...
Aiming at solving the multiple fault diagnosis problem as well as the sequence of all the potential ...
One of the problems of the recent approaches to problem solving based on deep knowledge is the lack ...
International audienceThis paper continues to present the framework of multi-faults diagnosis from t...
This paper describes an approach to performing diagnosis on complex dynamic systems described by qua...
Ces travaux de recherche présentent un nouveau cadre formel pour intégrer le diagnostic de fautes mu...
AbstractMany practical applications of system diagnosis require the credible identification of multi...
Almost all approaches to model-based diagnosis presume that the system being diagnosed behaves non-i...
It has often been noted that today's human operators of complex industrial systems must occasio...
Multiple fault diagnosis is a challenging problem because the number of candidates grows exponen-tia...
The multi-signal model is modeled in the fault space and combines the structural model and the depen...
In the present work, the multiplicity of fault characteristics is proposed and analyzed to improve t...
In this paper we describe a model-based approach to the fault diagnosis of ballast tank systems as e...
This is a Milton Keynes De Montfort University thesisThe goal of a fault-diagnosis system is to obta...
This thesis describes a diagnostic technique for explaining unanticipated modes of failure in contin...
This thesis describes a diagnostic technique for explaining unanticipated modes of failure in contin...
Aiming at solving the multiple fault diagnosis problem as well as the sequence of all the potential ...
One of the problems of the recent approaches to problem solving based on deep knowledge is the lack ...
International audienceThis paper continues to present the framework of multi-faults diagnosis from t...
This paper describes an approach to performing diagnosis on complex dynamic systems described by qua...
Ces travaux de recherche présentent un nouveau cadre formel pour intégrer le diagnostic de fautes mu...
AbstractMany practical applications of system diagnosis require the credible identification of multi...
Almost all approaches to model-based diagnosis presume that the system being diagnosed behaves non-i...
It has often been noted that today's human operators of complex industrial systems must occasio...
Multiple fault diagnosis is a challenging problem because the number of candidates grows exponen-tia...
The multi-signal model is modeled in the fault space and combines the structural model and the depen...
In the present work, the multiplicity of fault characteristics is proposed and analyzed to improve t...
In this paper we describe a model-based approach to the fault diagnosis of ballast tank systems as e...
This is a Milton Keynes De Montfort University thesisThe goal of a fault-diagnosis system is to obta...
This thesis describes a diagnostic technique for explaining unanticipated modes of failure in contin...
This thesis describes a diagnostic technique for explaining unanticipated modes of failure in contin...
Aiming at solving the multiple fault diagnosis problem as well as the sequence of all the potential ...
One of the problems of the recent approaches to problem solving based on deep knowledge is the lack ...