Fault Diagnosis Using a Joint Model Based on Sparse Representation and SVM.
Likun RenWeimin LvShiWei JiangYang XiaoPublished in: IEEE Trans. Instrum. Meas. (2016)
Keyphrases
- fault diagnosis
- sparse representation
- joint optimization
- dictionary learning
- support vector
- sparse coding
- support vector machine svm
- neural network
- support vector machine
- chemical process
- expert systems
- image classification
- knn
- power transformers
- fault detection
- bp neural network
- multi class
- compressive sensing
- face recognition
- operating conditions
- fuzzy logic
- monitoring and fault diagnosis
- fault detection and diagnosis
- image patches
- image representation
- condition monitoring
- compressed sensing
- gas turbine
- signal processing
- electronic equipment
- artificial intelligence
- feature selection
- analog circuits
- kernel function
- multi sensor information fusion
- multiple faults
- rotating machinery
- high dimensional data
- training data
- data sets
- tennessee eastman
- training set
- genetic algorithm
- power plant
- dimensionality reduction
- image features