An Approach to Fault Diagnosis Using Meta-Heuristics: a New Variant of the Differential Evolution Algorithm

Authors

  • Lídice Camps Echevarría Instituto Superior Politécnico José Antonio Echeverría, CUJAE
  • Orestes Llanes Santiago Instituto Superior Politécnico José Antonio Echeverría, CUJAE
  • Antonio José da Silva Neto Instituto Politécnico de Río de Janeiro, Universidad Estadual de Río de Janeiro
  • Haroldo Fraga de Campos Velho National Institute for Spatial Research, INPE

DOI:

https://doi.org/10.13053/cys-18-1-1578

Keywords:

Differential evolution, meta-heuristics, fault diagnosis, particle collision, robustness, sensitivity.

Abstract

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.

Author Biographies

Lídice Camps Echevarría, Instituto Superior Politécnico José Antonio Echeverría, CUJAE

Centro de Estudios de Matemática, Profesora

Orestes Llanes Santiago, Instituto Superior Politécnico José Antonio Echeverría, CUJAE

Departamento de Automática y Computación, Profesor Titular

Antonio José da Silva Neto, Instituto Politécnico de Río de Janeiro, Universidad Estadual de Río de Janeiro

IPRJ, Profesor

Haroldo Fraga de Campos Velho, National Institute for Spatial Research, INPE

INPE, Investigador

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Published

2014-04-03

Issue

Vol. 18 No. 1 (2014): 18(1) January-March 2014

Section

Articles

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