Intelligent Fault Diagnosis for Large-Scale Rotating Machines Using Binarized Deep Neural Networks and Random Forests.
Huifang LiGuangzheng HuJianqiang LiMengchu ZhouPublished in: IEEE Trans Autom. Sci. Eng. (2022)
Keyphrases
- fault diagnosis
- random forests
- neural network
- industrial systems
- random forest
- decision trees
- logistic regression
- expert systems
- machine learning algorithms
- ensemble methods
- fault detection
- fault detection and diagnosis
- fuzzy logic
- rotating machinery
- bp neural network
- rbf neural network
- power transformers
- condition monitoring
- monitoring and fault diagnosis
- operating conditions
- analog circuits
- decision tree ensembles
- electronic equipment
- intelligent systems
- multiple faults
- input image
- artificial intelligence
- multi sensor information fusion
- gas turbine
- back propagation
- naive bayes
- image processing
- base classifiers
- chemical process
- feature set
- multi class
- knn