Uncertainty-Aware Deep Learning: A Promising Tool for Trustworthy Fault Diagnosis.
Jiaxin RenJingcheng WenZhibin ZhaoRuqiang YanXuefeng ChenAsoke K. NandiPublished in: IEEE CAA J. Autom. Sinica (2024)
Keyphrases
- fault diagnosis
- deep learning
- expert systems
- fault detection
- unsupervised learning
- chemical process
- neural network
- electronic equipment
- operating conditions
- gas turbine
- fault detection and diagnosis
- multiple faults
- power transformers
- fuzzy logic
- multi sensor information fusion
- monitoring and fault diagnosis
- weakly supervised
- unsupervised feature learning
- rbf neural network
- condition monitoring
- analog circuits
- mental models
- decision making
- real time
- image segmentation
- learning algorithm
- superpixels
- machine learning
- rotating machinery
- tennessee eastman
- artificial neural networks