Fault Diagnosis in Industrial Systems Using Bioinspired Cooperative Strategies

• Lídice Camps Echevarría ^[2] ; Orestes Llanes-Santiago ^[2] ; Antônio José da Silva Neto ^[1]
  1. [1] Universidade do Estado do Rio de Janeiro

     Universidade do Estado do Rio de Janeiro

     Brasil

     
  2. [2] Instituto Superior Politécnico José Antonio Echeverría
• Localización: Nature Inspired Cooperative Strategies for Optimization (NICSO 2010) / coord. por Juan R. González, David Alejandro Pelta Mochcovsky, Carlos Cruz, Germán Terrazas, Natalio Krasnogor, 2010, ISBN 978-3-642-12537-9, págs. 53-64
• Idioma: inglés
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• Resumen

  • This paper explores the application of bioinspired cooperative strategies for optimization on Fault Diagnosis in industrial systems. As a first step, the Differential Evolution and Ant Colony Optimization algorithms are considered.Both algorithms have been applied to a benchmark problem, the two tanks system.The experiments have considered noisy data in order to compare the robustness of the diagnosis. The preliminary results indicate that the proposed approach, basically the combination of the two algorithms, characterizes a promising methodology for the Fault Detection and Isolation problem.