Application of Sparse Representation in SCADA: Wind Turbine Fault Diagnosis Based on K-SVD.
Huanying HanDongsheng YangXueqing NiPublished in: CAA SAFEPROCESS (2021)
Keyphrases
- sparse representation
- fault diagnosis
- dictionary learning
- wind turbine
- sparse coding
- expert systems
- face recognition
- neural network
- high dimensional data
- image patches
- wind speed
- joint optimization
- image classification
- dimensionality reduction
- fuzzy logic
- signal processing
- fault detection
- operating conditions
- fault detection and diagnosis
- bp neural network
- short term
- sparse codes
- monitoring and fault diagnosis
- image representation
- control system
- image processing
- test images
- unsupervised learning
- long term
- wind power
- training data
- fault identification