Fault Diagnosis of Rotating Machinery Based on Improved Self-Supervised Learning Method and Very Few Labeled Samples.
Meirong WeiYan LiuTao ZhangZe WangJiaming ZhuPublished in: Sensors (2022)
Keyphrases
- fault diagnosis
- rotating machinery
- neural network
- multi sensor information fusion
- reinforcement learning
- learning process
- maximum likelihood
- learning tasks
- support vector machine svm
- unsupervised learning
- classification accuracy
- prior knowledge
- expert systems
- supervised learning
- em algorithm
- probabilistic model
- active learning
- dimension reduction
- information fusion
- learning algorithm