A Knowledge-Based System with Embedded Estimation Components for Fault Detection and Isolation in Process Plants

Autor:	W.F. Ramirez, Józef Korbicz, G. Gilliland, A.P. Tavares, Zohreh Fathi
Rok vydání:	1992
Předmět:	Engineering business.industry Kalman filter Work in process computer.software_genre Expert system Fault detection and isolation Reliability engineering Adaptive filter Knowledge-based systems Redundancy (engineering) Data mining business computer Process operation
Zdroj:	IFAC Proceedings Volumes. 25:43-48
ISSN:	1474-6670
DOI:	10.1016/s1474-6670(17)50214-1
Popis:	Fault diagnosis in the area of process operations is critical for modern production and is receiving increasing theoretical and practical attention. In spite of many research and practical attempts, process fault diagnosis remains a rather complex task. In this work, we present a diagnostic methodology in which the symbolic reasoning of knowledge-based systems techniques is integrated with quantitative analysis of analytical redundancy methods. The system first performs a diagnosis by means of a compiled knowledge structure, and then attempts to build a detailed explanation by using proper fault models (adaptive filters). It also performs various statistical analyses to determine the process condition and check the validity of models. This unified approach increases the completeness and reliability of the diagnostic system.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::8b167d188c75267e35d4ee93b0291537 https://doi.org/10.1016/s1474-6670(17)50214-1 Zobrazit plný text záznamu