Add to ORKGModel-based Diagnosis (MBD) can be applied in many areas such as automotive diagnostics, circuit board diagnostics, medical diagnostics, software debugging etc. A large number of studies on consistency-based MBD have adopted the features of different satisfiability solvers. The various satisfiability solvers all have their advantages and disadvantages. In this thesis project, a Generic Diagnostic Framework (GDF) is proposed based on two existing algorithms - the relational aggregation tree approach and QuickXplain. An improved algorithm is proposed, allowing the GDF to generate more complete diagnoses. Furthermore, the GDF can easily incorporate any arbitrary satisfiability solver with minimal implementation changes. The GDF has been protot...
This paper proposes a diagnosis architecture that integrates consistency based diagnosis with induc...
Abstract- Model-Based Diagnosis (MBD) is a promising approach for fast and accurate di-agnosis of ro...
The most widely used approach to model-based diagnosis consists of a two-step process: (1) Generatin...
Model-based Diagnosis (MBD) can be applied in many areas such as automotive diagnostics, circuit boa...
Model-Based Diagnosis (MBD) finds a growing number of uses in different settings, which include soft...
Conflict-driven problem solvers such as GDE use previously discovered conflicts to guide further sea...
This article proposes a Diagnosis Interchange Format (DIF), an XML-based interchange format for Mode...
The model-based diagnosis project at the University of Twente has been directed at improving the pra...
Model-based diagnosis (MBD) uses an abstraction of system to diagnose possible faulty functions of a...
Model-based diagnosis (MBD) uses an abstraction of system to diagnose possible faulty functions of a...
AbstractDiagnosis of discrete-event systems (DESs) may be improved by knowledge-compilation techniqu...
In Model-Based Diagnosis, a set of inference rules is typically used to compute diagnoses using a sc...
Consistency-based diagnosis algorithms seek for explanations to unexpected observations in sys-tems....
The diagnosis of a discrete-event system is the problem of computing possible behaviors of the syste...
When designing model-based fault-diagnosis systems, the use of consistency relations (also called e....
This paper proposes a diagnosis architecture that integrates consistency based diagnosis with induc...
Abstract- Model-Based Diagnosis (MBD) is a promising approach for fast and accurate di-agnosis of ro...
The most widely used approach to model-based diagnosis consists of a two-step process: (1) Generatin...
Model-based Diagnosis (MBD) can be applied in many areas such as automotive diagnostics, circuit boa...
Model-Based Diagnosis (MBD) finds a growing number of uses in different settings, which include soft...
Conflict-driven problem solvers such as GDE use previously discovered conflicts to guide further sea...
This article proposes a Diagnosis Interchange Format (DIF), an XML-based interchange format for Mode...
The model-based diagnosis project at the University of Twente has been directed at improving the pra...
Model-based diagnosis (MBD) uses an abstraction of system to diagnose possible faulty functions of a...
Model-based diagnosis (MBD) uses an abstraction of system to diagnose possible faulty functions of a...
AbstractDiagnosis of discrete-event systems (DESs) may be improved by knowledge-compilation techniqu...
In Model-Based Diagnosis, a set of inference rules is typically used to compute diagnoses using a sc...
Consistency-based diagnosis algorithms seek for explanations to unexpected observations in sys-tems....
The diagnosis of a discrete-event system is the problem of computing possible behaviors of the syste...
When designing model-based fault-diagnosis systems, the use of consistency relations (also called e....
This paper proposes a diagnosis architecture that integrates consistency based diagnosis with induc...
Abstract- Model-Based Diagnosis (MBD) is a promising approach for fast and accurate di-agnosis of ro...
The most widely used approach to model-based diagnosis consists of a two-step process: (1) Generatin...