Expert diagnostic using qualitative data and rule-based inferential reasoning

Autor:	Joaquim Melendez-Frigola, Orlando Contreras, Joan Colomer-Llinas, Josep Lluis de la Rosa
Rok vydání:	1998
Předmět:	Computer science Process (engineering) business.industry Rule-based system Legal expert system Model-based reasoning Machine learning computer.software_genre Expert system Qualitative reasoning Knowledge-based systems Artificial intelligence Inference engine business computer
Zdroj:	Tasks and Methods in Applied Artificial Intelligence ISBN: 9783540645740 IEA/AIE (Vol. 2)
Popis:	A diagnostic structure based on modular expert system architecture is presented in this paper. An illustrative example shows how expert knowledge is used to deduce fault situations. In this example, qualitative representation of numerical variables of process is used to interface expert knowledge and process variables. The goal is to use this new information to deduce abnormal situations that can not be differentiate from the normal evolution of process dynamics using only data available from process. The evolution of process variables and abstracted information are used as inputs for the reasoning modules.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::23b6249a030757bcd2395706c715ec40 https://doi.org/10.1007/3-540-64574-8_406 Zobrazit plný text záznamu