Add to ORKGThis paper presents a methodology for knowledge survey and modeling. The methodology aims to make an expert system for fault diagnosis and solution. The methodology comprises a plant system definition, information and knowledge sources, and knowledge models. This is done to guide the operators’ behavior and the plant personnel in contingency situations
First generation expert systems use judgemental knowledge of the human experts which use heuristic a...
In critical infrastructure, such as nuclear power generation, constituent assets are continually mon...
Some of the most popular approaches to modelbased diagnosis consist of reasoning about a model of th...
This paper presents a methodology for knowledge survey and modeling. The methodology aims to make an...
In this paper, an approach of power system fault diagnosis model based on Petri Net (PN) is proposed...
Los sistemas de diagnóstico de fallas en empresas asociadas al sector eléctrico requieren propiedade...
Abstracto This papel ' presents the integration of Artificiallntelligcnce representation techni...
Abstract — This paper extends an existing sensor mapping procedure, defines compatibility of models ...
Purpose of this master thesis is description of base parts of expert system with using Petri nets. A...
The purpose of this paper is to present an expert system shell (GOTRES) that utilizes a deep knowled...
In this dissertation, we explore the problem of fault detection and fault diagnosis for systems mode...
Aiming at that the automatic fault diagnosis method is difficult to locate the fault causes under un...
In fault diagnostic expert systems, the knowledge can be either shallow (experience-based) or deep (...
The initial aim of this research was to investigate the application of expert Systems, or Knowledge ...
The problem of modeling knowledge about the fault behavior of a system and utilizing this model for ...
First generation expert systems use judgemental knowledge of the human experts which use heuristic a...
In critical infrastructure, such as nuclear power generation, constituent assets are continually mon...
Some of the most popular approaches to modelbased diagnosis consist of reasoning about a model of th...
This paper presents a methodology for knowledge survey and modeling. The methodology aims to make an...
In this paper, an approach of power system fault diagnosis model based on Petri Net (PN) is proposed...
Los sistemas de diagnóstico de fallas en empresas asociadas al sector eléctrico requieren propiedade...
Abstracto This papel ' presents the integration of Artificiallntelligcnce representation techni...
Abstract — This paper extends an existing sensor mapping procedure, defines compatibility of models ...
Purpose of this master thesis is description of base parts of expert system with using Petri nets. A...
The purpose of this paper is to present an expert system shell (GOTRES) that utilizes a deep knowled...
In this dissertation, we explore the problem of fault detection and fault diagnosis for systems mode...
Aiming at that the automatic fault diagnosis method is difficult to locate the fault causes under un...
In fault diagnostic expert systems, the knowledge can be either shallow (experience-based) or deep (...
The initial aim of this research was to investigate the application of expert Systems, or Knowledge ...
The problem of modeling knowledge about the fault behavior of a system and utilizing this model for ...
First generation expert systems use judgemental knowledge of the human experts which use heuristic a...
In critical infrastructure, such as nuclear power generation, constituent assets are continually mon...
Some of the most popular approaches to modelbased diagnosis consist of reasoning about a model of th...