A fuzzy classifier system for fault tolerance

Mariela Cerrada, José Aguilar

Resumen


In this work, we propose to use a Fuzzy Classifier System for building a fault tolerance automated system wich determines the applicable and feasible maintenance tasks on industrial plant. This system is based on the ";Reliability-Centered Maintenance"; methodology.


Palabras clave


machine learning; classifier systems; fuzzy logic; genetic algorithms; fault detection and diagnosis; reliability-centered maintenance

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Universidad del Zulia /Venezuela/ Revista Técnica de la Facultad de Ingeniería/ revistatecnica@gmail.com /ISSN: 0254-0770

 

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