Open AccessGenetic algorithms to determine the optimal parameters of an ensemble local mean decomposition
Author(s) -
Willian T. F. D. Silva,
Filipe D. D. M. Borges
Publication year - 2021
Publication title -
acta polytechnica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.207
H-Index - 15
eISSN - 1805-2363
pISSN - 1210-2709
DOI - 10.14311/ap.2021.61.0465
Subject(s) - decomposition , genetic algorithm , selection (genetic algorithm) , algorithm , reduction (mathematics) , computer science , optimization algorithm , decomposition method (queueing theory) , mathematical optimization , mathematics , artificial intelligence , statistics , chemistry , organic chemistry , geometry
An optimization method for an ensemble local mean decomposition (ELMD) parameters selection using genetic algorithms is proposed. The execution of this technique depends heavily on the correct choice of the parameters of its model as pointed out in previous works. The effectiveness of the proposed method was evaluated using synthetic signals, discussed by several authors. The resulting algorithm obtained similar results to OELMD, but with an 82% reduction in processing time. Actual vibration signals were also analysed, presenting satisfactory results.