Resumo

CAMPS ECHEVARRIA, Lídice; LLANES SANTIAGO, Orestes; NETO, Antônio J. Silva  e  VELHO, Haroldo Fraga de Campos. An Approach to Fault Diagnosis Using Meta-Heuristics: a New Variant of the Differential Evolution Algorithm. Comp. y Sist. [online]. 2014, vol.18, n.1, pp.5-17. ISSN 2007-9737.  https://doi.org/10.13053/CyS-18-1-2014-015.

This paper presents an application of meta-heuristics to fault diagnosis. The idea behind this application is to develop methods for fault diagnosis that should be robust, sensitive and with an adequate computational cost. Applications of meta-heuristics are possible based on the formulation of fault diagnosis as an optimization problem. The results indicate the suitability of the use of meta-heuristics for fault diagnosis. In particular, this study shows an application of meta-heuristic termed Differential Evolution to diagnosing a DC Motor benchmark. This allowed developing a new variant of Differential Evolution, namely, Differential Evolution with Particle Collision. This new algorithm was validated with some benchmark functions for continuous optimization, showing that it over-performed the behavior of Differential Evolution.

Palavras-chave : Differential evolution; meta-heuristics; fault diagnosis; particle collision; robustness; sensitivity.

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