SCCAM: Supervised Contrastive Convolutional Attention Mechanism for Ante-hoc Interpretable Fault Diagnosis with Limited Fault Samples.
Mengxuan LiPeng PengJingxin ZhangHongwei WangWeiming ShenPublished in: CoRR (2023)
Keyphrases
- fault diagnosis
- attention mechanism
- fault detection
- expert systems
- neural network
- visual attention
- multiple faults
- rotating machinery
- fuzzy logic
- fault detection and diagnosis
- power transformers
- operating conditions
- electronic equipment
- bp neural network
- chemical process
- multi sensor information fusion
- condition monitoring
- saliency map
- semi supervised
- learning algorithm
- analog circuits
- gas turbine
- power plant
- visual attention model
- fault detection and isolation
- tennessee eastman
- machine learning
- vision system
- feature selection
- computer vision
- fault tree