Bearing faults recognition based on the local mode decomposition morphological spectrum and optimized support vector machine.
Shaojiang DongJun WangBaoping TangXiangyang XuJuan LiuPublished in: URAI (2016)
Keyphrases
- support vector machine
- recognition rate
- recognition accuracy
- object recognition
- automatic recognition
- pattern recognition
- character recognition
- multiscale
- fault detection
- image processing
- multi class
- kernel methods
- machine learning
- visual recognition
- training procedure
- svm classifier
- fault diagnosis
- handwritten characters
- decomposition method
- support vector
- mathematical morphology
- recognition algorithm
- decomposition methods
- activity recognition
- abnormal events
- stock market prediction
- multi class support vector machines
- decision boundary
- morphological operations
- edge detection
- wavelet transform
- hidden markov models
- expert systems
- training data
- feature selection