Semi-supervised prototype network based on compact-uniform-sparse representation for rotating machinery few-shot class incremental fault diagnosis.
Yu ZhangDongying HanPeiming ShiPublished in: Expert Syst. Appl. (2024)
Keyphrases
- rotating machinery
- fault diagnosis
- sparse representation
- semi supervised
- fault detection
- subspace learning
- dictionary learning
- sparse coding
- expert systems
- neural network
- image classification
- face recognition
- image patches
- chemical process
- compressive sensing
- image representation
- high dimensional data
- gas turbine
- signal processing
- fault detection and diagnosis
- operating conditions
- analog circuits
- semi supervised learning
- sparse coefficients
- monitoring and fault diagnosis
- power plant
- natural images
- dimensionality reduction
- supervised learning
- fuzzy logic
- power transformers
- multi sensor information fusion
- class labels
- multiple faults
- artificial neural networks
- multiscale
- training data
- learning algorithm
- machine learning
- data mining