Comparison of random forest, artificial neural networks and support vector machine for intelligent diagnosis of rotating machinery.
Te HanDongxiang JiangQi ZhaoLei WangKai YinPublished in: Trans. Inst. Meas. Control (2018)
Keyphrases
- random forest
- rotating machinery
- artificial neural networks
- fault diagnosis
- fault detection
- support vector machine
- random forests
- decision trees
- neural network
- fold cross validation
- feature set
- ensemble classifier
- multi label
- feature vectors
- multi class
- fuzzy logic
- feature extraction
- data sets
- genetic algorithm
- base classifiers
- support vector
- support vector machine svm
- intelligent systems
- svm classifier
- genetic algorithm ga
- feature selection
- ensemble learning
- computational intelligence
- machine learning
- similarity measure
- soft computing
- training data
- feature space