A novel self-training semi-supervised deep learning approach for machinery fault diagnosis.
Jianyu LongYibin ChenZhe YangYunwei HuangChuan LiPublished in: Int. J. Prod. Res. (2023)
Keyphrases
- deep learning
- fault diagnosis
- semi supervised
- unsupervised learning
- semi supervised learning
- co training
- weakly supervised
- unlabeled data
- expert systems
- labeled data
- unsupervised feature learning
- pairwise
- supervised learning
- fault detection
- neural network
- fuzzy logic
- active learning
- fault detection and diagnosis
- operating conditions
- electronic equipment
- machine learning
- multi view
- power transformers
- gas turbine
- rotating machinery
- analog circuits
- chemical process
- monitoring and fault diagnosis
- named entities
- text classification
- multiple faults
- multi sensor information fusion
- mental models
- training set
- pattern recognition
- image processing
- artificial intelligence