A fault diagnosis method in industrial processes with integrated feature space and optimized random forest.
Zhenyu DengTe HanRuonan LiuFengyao ZhiPublished in: ISIE (2022)
Keyphrases
- random forest
- industrial processes
- feature space
- feature set
- industrial process
- random forests
- fault detection
- quality improvement
- decision trees
- feature selection
- training samples
- fault detection and isolation
- kernel function
- ensemble methods
- dimensionality reduction
- classification accuracy
- high dimensional
- feature vectors
- fault diagnosis
- multi label
- decision support system
- data mining
- ensemble classifier
- training data
- feature extraction
- image processing
- decision tree learning algorithms