A Machine Learning-based Method using the Dynamic Mode Decomposition for Fault Location and Classification.
Felipe Wilches-BernalMiguel Jiménez-AparicioMatthew J. RenoPublished in: ISGT (2022)
Keyphrases
- machine learning
- support vector machine
- machine learning methods
- classification method
- feature selection
- detection method
- pattern recognition
- dynamic programming
- classification accuracy
- decomposition method
- training process
- benchmark data sets
- pattern classification
- machine learning algorithms
- objective function
- decision rules
- data mining
- computer vision
- reinforcement learning
- significant improvement
- classification algorithm
- cost function
- support vector machine svm
- dynamic environments
- model selection
- text classification
- feature set
- natural language processing
- cross validation
- high accuracy
- preprocessing
- statistical methods
- unsupervised learning
- classification scheme
- accuracy rate