Fault Diagnosis of the Rolling Bearing by a Multi-Task Deep Learning Method Based on a Classifier Generative Adversarial Network.
Zhunan ShenXiangwei KongLiu ChengRengen WangYunpeng ZhuPublished in: Sensors (2024)
Keyphrases
- fault diagnosis
- deep learning
- monitoring and fault diagnosis
- expert systems
- multi sensor information fusion
- multi task
- prior knowledge
- feature set
- segmentation method
- similarity measure
- classification accuracy
- data sets
- generative model
- unsupervised learning
- training samples
- training examples
- probabilistic model
- active learning
- feature selection
- learning algorithm
- genetic algorithm