Classification of Partial Discharge Fault Sources on SF₆ Insulated Switchgear Based on Twelve By-Product Gases Random Forest Pattern Recognition.
Nor Asiah MuhamadIbrahim Visa MusaZulkurnain Abdul-MalekAmmar Salah MahdiPublished in: IEEE Access (2020)
Keyphrases
- random forest
- pattern recognition
- decision trees
- feature set
- fold cross validation
- random forests
- feature extraction
- machine learning
- partial discharge
- classification accuracy
- support vector machine svm
- neural network
- decision tree learning algorithms
- ensemble classifier
- multi label
- image processing
- support vector machine
- feature vectors
- image classification
- training set
- ensemble methods
- support vector
- high voltage
- unsupervised learning
- pairwise
- naive bayes
- computer vision
- fault diagnosis
- face recognition
- data sets
- reinforcement learning
- benchmark datasets
- dimensionality reduction