In:
Journal of Advanced Computational Intelligence and Intelligent Informatics, Fuji Technology Press Ltd., Vol. 5, No. 6 ( 2001-11-20), p. 307-314
Kurzfassung:
The integration of different intelligent techniques (such as Artificial Neural Networks, Fuzzy Logic, Genetic Algorithms, etc.) into a hybrid architecture allows to overcome their individual limitations. In industrial environments, these intelligent techniques can be combined to reach more effective solutions to complex problems. On the other hand, failure management in processes, equipment or plants, acquires more importance in modern industry every day, in order to minimize unexpected faults and guaranties a greater reliability, safety, disposition and productivity in the industry. In this paper, an intelligent system is designed for failure management based on Reliability Centered Maintenance methodology, Fuzzy Logic and Neural Networks. The system proposes the maintenance tasks according to the historical data of the equipment.
Materialart:
Online-Ressource
ISSN:
1883-8014
,
1343-0130
DOI:
10.20965/jaciii.2001.p0307
Sprache:
Englisch
Verlag:
Fuji Technology Press Ltd.
Publikationsdatum:
2001
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