An Integrated Approach Based on Swarm Decomposition, Morphology Envelope Dispersion Entropy, and Random Forest for Multi-Fault Recognition of Rolling Bearing.
Shuting WanBo PengPublished in: Entropy (2019)
Keyphrases
- random forest
- random forests
- monitoring and fault diagnosis
- fault diagnosis
- decision trees
- feature set
- recognition accuracy
- ensemble methods
- recognition rate
- fold cross validation
- object recognition
- particle swarm optimization
- feature importance
- feature extraction
- ensemble learning
- multi label
- decision tree learning algorithms
- recognition algorithm
- image processing
- computer vision
- ensemble classifier
- prediction accuracy
- pairwise
- rotation forest
- face recognition