Learning Fault Diagnosis Knowledge for a FCC Expert System by Genetic Algorithms

This paper introduces a GA-based Fault Matrix Learning System(GAFMLS) which applies Genetic Algorithms to a FCC expert system (FCCES) to learn a near-optimal fault matrix used in the fault diagnosis of an oil catalytic and cracking unit. The practical running results show that more effective fault m...

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Veröffentlicht in:	High technology letters 1997, Vol.3 (2), p.22-26
1. Verfasser:	陈恩红
Format:	Artikel
Sprache:	eng
Schlagworte:	algorithms Applied sciences Crude oil, natural gas and petroleum products diagnosis Energy Exact sciences and technology Expert Fault Fuels Genetic Processing of crude oil and oils from shales and tar sands. Processes. Equipment. Refinery and treatment units systems
Online-Zugang:	Volltext
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