TQWT-based multi-scale dictionary learning for rotating machinery fault diagnosis.
Zhibin ZhaoXuefeng ChenBaoqing DingShuming WuPublished in: CASE (2017)
Keyphrases
- rotating machinery
- dictionary learning
- fault diagnosis
- multiscale
- sparse coding
- sparse representation
- natural images
- fault detection
- image representation
- neural network
- scale space
- expert systems
- gas turbine
- fuzzy logic
- fault detection and diagnosis
- power transformers
- operating conditions
- image segmentation
- multiple faults
- electronic equipment
- monitoring and fault diagnosis
- edge detection
- wavelet transform
- analog circuits
- image patches
- artificial intelligence
- data mining
- unsupervised learning
- image classification
- data points
- image processing
- feature selection