Abstract
The principal objective of this work is to show how we could use the artificial intelligence techniques to model the reasoning of an engineer. The knowledge representation formalisms we used are production rules and object oriented programming. Using knowledge-based systems as a tool to help engineers to supervise the chemical process quality is quite new and we observe an increasing interest for these applications in different kinds of industries. In the first chapter of this thesis, we present the process to which we developed the prototype; this includes the chemical reactions of the process and a description of its industrial and pilot plants. Chapter II has two parts. The first one gives a survey of artificial intelligence approaches to process supervision and real-time. The other one presents some techniques for data validation and how to associate them to a knowledge based systems. Chapter III shows the different kinds of informations found in pilot units, including the knowledge used by an engineer to evaluate the process state. We also present some ways to identify the process steady state. Chapter IV presents how these methods are implemented in SACRE. Furthermore, it shows the strategy how to apply those methods to realize a
More>>
Citation Formats
Ferraz Simha, C.
SACRE: help system to control experimental results; SACRE: systeme d`aide au controle de resultats experimentaux.
France: N. p.,
1993.
Web.
Ferraz Simha, C.
SACRE: help system to control experimental results; SACRE: systeme d`aide au controle de resultats experimentaux.
France.
Ferraz Simha, C.
1993.
"SACRE: help system to control experimental results; SACRE: systeme d`aide au controle de resultats experimentaux."
France.
@misc{etde_10142817,
title = {SACRE: help system to control experimental results; SACRE: systeme d`aide au controle de resultats experimentaux}
author = {Ferraz Simha, C}
abstractNote = {The principal objective of this work is to show how we could use the artificial intelligence techniques to model the reasoning of an engineer. The knowledge representation formalisms we used are production rules and object oriented programming. Using knowledge-based systems as a tool to help engineers to supervise the chemical process quality is quite new and we observe an increasing interest for these applications in different kinds of industries. In the first chapter of this thesis, we present the process to which we developed the prototype; this includes the chemical reactions of the process and a description of its industrial and pilot plants. Chapter II has two parts. The first one gives a survey of artificial intelligence approaches to process supervision and real-time. The other one presents some techniques for data validation and how to associate them to a knowledge based systems. Chapter III shows the different kinds of informations found in pilot units, including the knowledge used by an engineer to evaluate the process state. We also present some ways to identify the process steady state. Chapter IV presents how these methods are implemented in SACRE. Furthermore, it shows the strategy how to apply those methods to realize a process diagnostic. (author).}
place = {France}
year = {1993}
month = {Nov}
}
title = {SACRE: help system to control experimental results; SACRE: systeme d`aide au controle de resultats experimentaux}
author = {Ferraz Simha, C}
abstractNote = {The principal objective of this work is to show how we could use the artificial intelligence techniques to model the reasoning of an engineer. The knowledge representation formalisms we used are production rules and object oriented programming. Using knowledge-based systems as a tool to help engineers to supervise the chemical process quality is quite new and we observe an increasing interest for these applications in different kinds of industries. In the first chapter of this thesis, we present the process to which we developed the prototype; this includes the chemical reactions of the process and a description of its industrial and pilot plants. Chapter II has two parts. The first one gives a survey of artificial intelligence approaches to process supervision and real-time. The other one presents some techniques for data validation and how to associate them to a knowledge based systems. Chapter III shows the different kinds of informations found in pilot units, including the knowledge used by an engineer to evaluate the process state. We also present some ways to identify the process steady state. Chapter IV presents how these methods are implemented in SACRE. Furthermore, it shows the strategy how to apply those methods to realize a process diagnostic. (author).}
place = {France}
year = {1993}
month = {Nov}
}