A Data-Independent Genetic Algorithm Framework for Fault-Type Classification and Remaining Useful Life Prediction

Hung-Cuong Trinh and Yung-Keun Kwon

Resumen

We propose a data-independent framework based on an ensemble of genetic algorithms for fault-type classification and remaining useful life prediction.

Palabras claves

data-driven - diagnostics - prognostics - genetic algorithm - ensemble - fault-types - remaining useful life

Acceso

P�GINAS

pp. 0 - 0

N�MERO

Volumen: 10 Parte: 1 (2020)

MATERIAS

INGENIER�A Y CONSTRUCCI�N CIVIL
TECNOLOG�A

REVISTAS SIMILARES

Applied Sciences
Aerospace
Algorithms

DOI

https://doi.org/10.3390/app10010368

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