A novel fault prognostic approach based on particle filters and differential evolution.
Luciana Balieiro CosmeMarcos F. S. V. D'AngeloWalmir M. CaminhasShen YinReinaldo M. PalharesPublished in: Appl. Intell. (2018)
Keyphrases
- differential evolution
- particle filter
- evolutionary algorithm
- optimization algorithm
- particle filtering
- fault diagnosis
- object tracking
- particle swarm optimization
- differential evolution algorithm
- visual tracking
- kalman filter
- monte carlo
- multiple object tracking
- appearance model
- mutation operator
- genetic algorithm
- particle swarm optimization pso
- numerical optimization problems
- dynamic systems
- mean shift
- state estimation
- bayesian filtering
- motion model
- parameter optimization
- quasi monte carlo
- crossover operator
- state space
- multi objective
- bayesian inference
- abrupt motion
- multiple objects
- neural network
- solving global optimization problems
- global optimization problems
- variance reduction
- pso algorithm
- machine learning