SCCAM: Supervised Contrastive Convolutional Attention Mechanism for Ante-Hoc Interpretable Fault Diagnosis With Limited Fault Samples.
Mengxuan LiPeng PengJingxin ZhangHongwei WangWeiming ShenPublished in: IEEE Trans. Neural Networks Learn. Syst. (2024)
Keyphrases
- fault diagnosis
- attention mechanism
- fault detection
- neural network
- expert systems
- fault detection and diagnosis
- bp neural network
- fuzzy logic
- visual attention
- multiple faults
- rotating machinery
- power transformers
- multi sensor information fusion
- fault tree
- condition monitoring
- monitoring and fault diagnosis
- power plant
- electronic equipment
- chemical process
- machine learning
- fault detection and isolation
- operating conditions
- fault isolation
- analog circuits
- gas turbine
- fault diagnostic
- multiscale
- knowledge base
- feature selection
- artificial intelligence
- multiresolution
- learning algorithm
- genetic algorithm
- semi supervised
- saliency map