Line Faults Classification Using Machine Learning on Three Phase Voltages Extracted from Large Dataset of PMU Measurements.
Hussain OtudiTatjana DokicTaif MohamedMladen KezunovicYi HuZoran ObradovicPublished in: HICSS (2022)
Keyphrases
- machine learning
- machine learning methods
- pattern recognition
- decision trees
- classification method
- machine learning algorithms
- feature selection
- benchmark datasets
- text classification
- supervised learning
- support vector machine
- machine learning approaches
- supervised classification
- classification accuracy
- supervised machine learning
- classification scheme
- feature set
- image classification
- pattern classification
- preprocessing
- training set
- model selection
- extracted features
- support vector
- feature extraction
- knn
- fault detection
- automatic classification
- artificial intelligence
- classification algorithm
- data mining
- support vector machine svm
- semi supervised learning
- unsupervised learning
- uci datasets
- data sets
- training dataset
- learning algorithm
- test cases
- natural language processing
- artificial neural networks