Add to ORKGThe purpose of this paper is to present an expert system shell (GOTRES) that utilizes a deep knowledge model which is based on specific plant goals. In this method, the principles of process operations and control are organized in a hierarchial tree structure. This method of modelling knowledge is known as Goal Tree-Success Tree (GTST) [12]
Hazard and operability (HAZOP) studies on chemical process plants are very time consuming, and often...
The principles of deep modeling are described. There are two approaches to deep modeling: component ...
An expert system for real-time control of chemical processes provides an environment for coordinatio...
This paper describes a deep-knowledge expert system shell for diagnosing faults in process operation...
In fault diagnostic expert systems, the knowledge can be either shallow (experience-based) or deep (...
The most important portion of an expert system development is the articulation of knowledge by the e...
The problem of modeling knowledge about the fault behavior of a system and utilizing this model for ...
This paper presents a methodology for knowledge survey and modeling. The methodology aims to make an...
Expert systems can play a very important role in manufacturing processes by locating problems as soo...
The initial aim of this research was to investigate the application of expert Systems, or Knowledge ...
The use of knowledge-based systems to aid in the diagnosis of faults in physical devices has grown c...
Information concerning a fault in a process can be broken down to components using a tree diagram wh...
Abstract: Fault Diagnosis in real systems usually involves human expert’s shallow knowledge (as patt...
This Chapter presents the evolution of the expert systems paradigm for fault diagnosis in technical ...
Plant fault detection and diagnosis is an increasing operational necessity, especially in the nuclea...
Hazard and operability (HAZOP) studies on chemical process plants are very time consuming, and often...
The principles of deep modeling are described. There are two approaches to deep modeling: component ...
An expert system for real-time control of chemical processes provides an environment for coordinatio...
This paper describes a deep-knowledge expert system shell for diagnosing faults in process operation...
In fault diagnostic expert systems, the knowledge can be either shallow (experience-based) or deep (...
The most important portion of an expert system development is the articulation of knowledge by the e...
The problem of modeling knowledge about the fault behavior of a system and utilizing this model for ...
This paper presents a methodology for knowledge survey and modeling. The methodology aims to make an...
Expert systems can play a very important role in manufacturing processes by locating problems as soo...
The initial aim of this research was to investigate the application of expert Systems, or Knowledge ...
The use of knowledge-based systems to aid in the diagnosis of faults in physical devices has grown c...
Information concerning a fault in a process can be broken down to components using a tree diagram wh...
Abstract: Fault Diagnosis in real systems usually involves human expert’s shallow knowledge (as patt...
This Chapter presents the evolution of the expert systems paradigm for fault diagnosis in technical ...
Plant fault detection and diagnosis is an increasing operational necessity, especially in the nuclea...
Hazard and operability (HAZOP) studies on chemical process plants are very time consuming, and often...
The principles of deep modeling are described. There are two approaches to deep modeling: component ...
An expert system for real-time control of chemical processes provides an environment for coordinatio...