Generative Adversarial Network Based Multi-class Imbalanced Fault Diagnosis of Rolling Bearing.
Qianjun LiuGuijun MaCheng ChengPublished in: ICSRS (2019)
Keyphrases
- multi class
- monitoring and fault diagnosis
- fault diagnosis
- binary classification problems
- single class
- multi class problems
- generative model
- neural network
- expert systems
- multi class classification
- support vector machine
- fault detection
- pairwise
- object detection
- binary classifiers
- fuzzy logic
- discriminative learning
- multiple classes
- condition monitoring
- cost sensitive
- binary classification
- bp neural network
- unsupervised learning
- multi sensor information fusion
- analog circuits
- error correcting output codes
- class imbalance
- chemical process
- multiple faults
- operating conditions
- rbf neural network
- multi class classifier
- feature selection
- base classifiers
- multi task
- power transformers
- test set
- support vector
- face recognition