Intelligent Bearing Fault Diagnosis Using Adaptive Time-Frequency Convolutional Features with Multi-task Learning.
Simin LiYoujiang LiuYongtao QiuShengli WangPublished in: ICCT (2022)
Keyphrases
- fault diagnosis
- multi task learning
- monitoring and fault diagnosis
- neural network
- expert systems
- chemical process
- multi task
- fault detection
- industrial systems
- multiple tasks
- multitask learning
- feature extraction
- multiple faults
- operating conditions
- learning models
- learning problems
- multi sensor information fusion
- gaussian processes
- theoretical analysis
- fuzzy logic
- multi class
- classification accuracy
- probabilistic model