Partial Discharge UHF detection and classification with Machine Learning: a real case study.
Emanuele OgliariMaciej SakwaJianguo WeiBenjamin SchubertWeilin LiuMauro PaloPublished in: COINS (2023)
Keyphrases
- machine learning
- machine learning methods
- pattern recognition
- machine learning algorithms
- decision trees
- support vector machine
- supervised machine learning
- supervised learning
- detection algorithm
- text classification
- machine learning approaches
- feature selection
- support vector
- supervised classification
- object detection
- training set
- text mining
- unsupervised learning
- partial discharge
- computational intelligence
- real time
- feature vectors
- learning algorithm
- data mining
- model selection
- anomaly detection
- multi class
- classification accuracy
- false positives
- active learning
- historical data
- expert systems
- high voltage
- ultra high