. The present paper outlines the PVM implementation of a particular approach to model-based diagnosis which uses a Petri net model of the system to be diagnosed. Parallel backward reachability analysis on the state space of the net is used to explain the misbehavior of the modeled system. The analysis algorithm is based on the automatic identification of the parallelism present in the structure of the Petri net model. Starting from the above information, a MIMD message passing program is automatically constructed. PVM has proved to be a useful tool for implementing the above parallel programs; in particular, we tested the approach by implementing a parallel program for a car fault diagnosis domain. 1 Introduction Solving a diagnostic probl...
Model-Based Diagnosis techniques have been successfully applied to support a variety of fault-locali...
Abstract. The problem of detecting and isolating fault events in dy-namic systems modeled as discret...
A model-based method is proposed in this paper for algorithmic generation of diagnosers in coloured ...
The present paper outlines the PVM implementation of a particular approach to model-based diagnosis ...
The present paper describes the formal connection between model-based diagnostic problem solving (us...
The present paper describes the empirical evaluation of a linear algebra approach to model-based dia...
Backward reachability on Petri net models has been proposed since the beginning of the development o...
In this dissertation, we explore the problem of fault detection and fault diagnosis for systems mode...
We present a framework that shows how components in parallel can infer the diagnosability property o...
In this paper, an approach of power system fault diagnosis model based on Petri Net (PN) is proposed...
Parallel performance tuning naturally involves a diagnosis process to locate and explain sources of ...
Some of the most popular approaches to modelbased diagnosis consist of reasoning about a model of th...
This paper deals with diagnosis of permanent and operational faults of partially observed discrete e...
AbstractRecently, network technologies have rapidly developed, and distributed processing systems wh...
International audienceThis paper investigates the problem of pattern diagnosis of systems modeled as...
Model-Based Diagnosis techniques have been successfully applied to support a variety of fault-locali...
Abstract. The problem of detecting and isolating fault events in dy-namic systems modeled as discret...
A model-based method is proposed in this paper for algorithmic generation of diagnosers in coloured ...
The present paper outlines the PVM implementation of a particular approach to model-based diagnosis ...
The present paper describes the formal connection between model-based diagnostic problem solving (us...
The present paper describes the empirical evaluation of a linear algebra approach to model-based dia...
Backward reachability on Petri net models has been proposed since the beginning of the development o...
In this dissertation, we explore the problem of fault detection and fault diagnosis for systems mode...
We present a framework that shows how components in parallel can infer the diagnosability property o...
In this paper, an approach of power system fault diagnosis model based on Petri Net (PN) is proposed...
Parallel performance tuning naturally involves a diagnosis process to locate and explain sources of ...
Some of the most popular approaches to modelbased diagnosis consist of reasoning about a model of th...
This paper deals with diagnosis of permanent and operational faults of partially observed discrete e...
AbstractRecently, network technologies have rapidly developed, and distributed processing systems wh...
International audienceThis paper investigates the problem of pattern diagnosis of systems modeled as...
Model-Based Diagnosis techniques have been successfully applied to support a variety of fault-locali...
Abstract. The problem of detecting and isolating fault events in dy-namic systems modeled as discret...
A model-based method is proposed in this paper for algorithmic generation of diagnosers in coloured ...