Sensor Fault Classification Based on Support Vector Machine and Statistical Time-Domain Features.
Sana Ullah JanYoung-Doo LeeJungpil ShinInsoo KooPublished in: IEEE Access (2017)
Keyphrases
- support vector machine
- svm classifier
- feature vectors
- classification method
- classification accuracy
- feature space
- svm classification
- feature extraction
- support vector
- support vector machine svm
- feature set
- support vector machine classifiers
- feature selection
- decision forest
- class labels
- classification algorithm
- classification process
- pattern recognition
- input features
- feature values
- histogram intersection kernel
- image classification
- correspondence analysis
- high classification accuracy
- data sets
- pattern classification
- classification models
- feature reduction
- knn
- decision boundary
- kernel function
- text classification
- support vector machine classifier
- training samples
- extracting features
- feature analysis
- feature selection algorithms
- fault diagnosis
- false positives
- frequency domain
- multi sensor
- roc curve
- extracted features
- benchmark datasets
- reduced set
- tree kernels
- selected features
- image features
- decision trees
- structured output
- small sample
- k nearest neighbor
- classification performances
- discriminative features
- machine learning algorithms